%0 Conference Proceedings %B Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems %D 2023 %T AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models %A Petridis, Savvas %A Diakopoulos, Nicholas %A Crowston, Kevin %A Hansen, Mark %A Henderson, Keren %A Jastrzebski, Stan %A Nickerson, Jefrey V %A Chilton, Lydia B %B Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems %G eng %U https://savvaspetridis.github.io/papers/anglekindling.pdf %R 10.1145/3544548.3580907 %0 Journal Article %J Communications of the Association for Information Systems (CAIS) %D 2022 %T Artificial intelligence in information systems: State of the art and research roadmap %A Pär J. Ågerfalk %A Kieran Conboy %A Kevin Crowston %A Sirkka L. Jarvenpaa %A Jenny Eriksson Lundström %A Patrick Mikalef %A Sudha Ram %X

Many would argue that artificial intelligence (AI) is not just a technology but represents a paradigmatic shift in the relationship between humans and machines. Much of the literature assumes that AI-powered practices are substantially different and profoundly changes organizational structures, communication, affordances, and ecosystems. However, research in AI is often fragmented and lacks clarity. While the Information Systems (IS) field can play a pivotal role in the emergence and use of AI, there is a need for a clear direction that specifies how IS can contribute and what are to be the key research themes and questions. This paper draws on a PDW at ICIS 2020 and the discussions that followed. It summarizes and synthesizes five decades of the impact of AI on organizational practices, providing views from various perspectives. It identifies weaknesses in the current AI literature as measured against conceptual clarity, theoretical glue, cumulative tradition, parsimony, and applicability. The paper concludes by identifying direct actions that the IS research community can undertake to address these issues. The final contribution is a next-step research agenda to guide AI research in the coming years.

%B Communications of the Association for Information Systems (CAIS) %V 50 %G eng %R 10.17705/1CAIS.05017 %> https://waim.network/sites/crowston.syr.edu/files/Artificial%20Intelligence%20in%20Information%20Systems%20State%20of%20the%20Art.pdf %0 Journal Article %J 2020 22nd International Conference on Advanced Communication Technology (ICACT) %D 2020 %T The Adoption of Artificial Intelligence for Financial Investment Service %A Noonpakdee, Wasinee %K AI %K artificial intelligence %K data %K financial %K fintech %K investment service %K Technology Adoption %K to investment companies %K to offer customers accessibility %B 2020 22nd International Conference on Advanced Communication Technology (ICACT) %I Global IT Research Institute - GIRI %P 396–400 %@ 9791188428045 %G eng %0 Journal Article %J Journal of Service Management %D 2020 %T AI feel you: customer experience assessment via chatbot interviews %A Sidaoui, Karim %A Jaakkola, Matti %A Burton, Jamie %K artificial intelligence %K chatbot %K Customer experience %K Customer feelings %K Sentiment analysis %K Storytelling %X Purpose: While customer experience (CE) is recognized as a critical determinant of business success, both academics and managers are yet to find a means to gain a comprehensive understanding of CE cost-effectively. The authors argue that the application of relevant AI technology could help address this challenge. Employing interactively prompted narrative storytelling, and the authors investigate the effectiveness of sentiment analysis (SA) on extracting valuable CE insights from primary qualitative data generated via chatbot interviews. Design/methodology/approach: Drawing on a granular and semantically clear framework for studying CE feelings, an artificial intelligence (AI) augmented chatbot was designed. The chatbot interviewed a crowdsourced sample of consumers about their recalled service experience feelings. By combining free-text and closed-ended questions, the authors were able to compare extracted sentiment polarities against established measurement scales and empirically validate our novel approach. Findings: The authors demonstrate that SA can effectively extract CE feelings from primary chatbot data. This findings also suggest that further enhancement in accuracy can be achieved via improvements in the interplay between the chatbot interviewer and SA extraction algorithms. Research limitations/implications: The proposed customer-centric approach can help service companies to study and better understand CE feelings in a cost-effective and scalable manner. The AI-augmented chatbots can also help companies to foster immersive and engaging relationships with customers. This study focuses on feelings, warranting further research on AI's value in studying other CE elements. Originality/value: The unique inquisitive role of AI-infused chatbots in conducting interviews and analyzing data in realtime, offers considerable potential for studying CE and other subjective constructs. %B Journal of Service Management %G eng %R 10.1108/JOSM-11-2019-0341 %0 Journal Article %J Telecommunications Policy %D 2020 %T AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings %A Kuziemski, Maciej %A Misuraca, Gianluca %K Algorithmic accountability %K artificial intelligence %K Automated decision making %K Public sector innovation %X The rush to understand new socio-economic contexts created by the wide adoption of AI is justified by its far-ranging consequences, spanning almost every walk of life. Yet, the public sector's predicament is a tragic double bind: its obligations to protect citizens from potential algorithmic harms are at odds with the temptation to increase its own efficiency - or in other words - to govern algorithms, while governing by algorithms. Whether such dual role is even possible, has been a matter of debate, the challenge stemming from algorithms' intrinsic properties, that make them distinct from other digital solutions, long embraced by the governments, create externalities that rule-based programming lacks. As the pressures to deploy automated decision making systems in the public sector become prevalent, this paper aims to examine how the use of AI in the public sector in relation to existing data governance regimes and national regulatory practices can be intensifying existing power asymmetries. To this end, investigating the legal and policy instruments associated with the use of AI for strenghtening the immigration process control system in Canada; “optimising” the employment services” in Poland, and personalising the digital service experience in Finland, the paper advocates for the need of a common framework to evaluate the potential impact of the use of AI in the public sector. In this regard, it discusses the specific effects of automated decision support systems on public services and the growing expectations for governments to play a more prevalent role in the digital society and to ensure that the potential of technology is harnessed, while negative effects are controlled and possibly avoided. This is of particular importance in light of the current COVID-19 emergency crisis where AI and the underpinning regulatory framework of data ecosystems, have become crucial policy issues as more and more innovations are based on large scale data collections from digital devices, and the real-time accessibility of information and services, contact and relationships between institutions and citizens could strengthen – or undermine - trust in governance systems and democracy. %B Telecommunications Policy %I Elsevier Ltd %V 44 %P 101976 %G eng %U https://doi.org/10.1016/j.telpol.2020.101976 %R 10.1016/j.telpol.2020.101976 %0 Journal Article %J Journal of Data, Information and Management %D 2020 %T AI in operations management: applications, challenges and opportunities %A Dogru, Ali K %A Keskin, Burcu B %K AI %K artificial intelligence %K Artificial Intelligence (AI) %K automation %K machine learning %K machine learning (ML) %K ml %K om %K operations management %K Operations Management (OM) %K Robotics %K scm %K supply chain management %K Supply Chain Management (SCM) %X We have witnessed unparalleled progress in artificial intelligence (AI) and machine learning (ML) applications in the last two decades. The AI technologies have accelerated advancements in robotics and automation, which have significant implications on almost every aspect of businesses, and especially supply chain operations. Supply chains have widely adopted smart technologies that enable real-time automated data collection, analysis, and prediction. In this study, we review recent applications of AI in operations management (OM) and supply chain management (SCM). Specifically, we consider the innovations in healthcare, manufacturing, and retail operations, since collectively, these three areas represent a majority of the AI innovations in business as well as growing problem areas. We discuss primary challenges and opportunities for utilizing AI in those industries. We also discuss trending research topics with significant value potential in these areas. %B Journal of Data, Information and Management %I Journal of Data, Information and Management %V 2 %P 67–74 %G eng %R 10.1007/s42488-020-00023-1 %0 Journal Article %J Business Horizons %D 2020 %T AI-enabled recruiting: What is it and how should a manager use it? %A Black, J Stewart %A van Esch, Patrick %K AI-enabled recruiting %K artificial intelligence %K Digital recruiting technology %K Human resources %X AI-enabled recruiting systems have evolved from nice to talk about to necessary to utilize. In this article, we outline the reasons underlying this development. First, as competitive advantages have shifted from tangible to intangible assets, human capital has transitioned from supporting cast to a starring role. Second, as digitalization has redesigned both the business and social landscapes, digital recruiting of human capital has moved from the periphery to center stage. Third, recent and near-future advances in AI-enabled recruiting have improved recruiting efficiency to the point that managers ignore them or procrastinate their utilization at their own peril. In addition to explaining the forces that have pushed AI-enabled recruiting systems from nice to necessary, we outline the key strategic steps managers need to take in order to capture its main benefits. %B Business Horizons %I Elsevier Ltd %V 63 %P 215–226 %G eng %U https://doi.org/10.1016/j.bushor.2019.12.001 %R 10.1016/j.bushor.2019.12.001 %0 Conference Paper %B Computation + Journalism Symposium %D 2020 %T Algorithmic Journalism and Its Impacts on Work %A Ayse Dalgali %A Kevin Crowston %X

In the artificial intelligence era, algorithmic journalists can produce news reports in natural language from structured data thanks to natural language generation (NLG) algorithms. This paper presents several algorithmic content generation models and discusses the impacts of algorithmic journalism on work within a framework consisting of three levels: replacing tasks of journalists, increasing efficiency, and developing new capabilities within journalism. The findings indicate that algorithmic journalism technology may lead some changes in journalism by enabling individual users to produce their own stories. This paper may contribute to an understanding of how algorithmic news is created and how algorithmic journalism technology impacts work.

%B Computation + Journalism Symposium %7 (cancelled due to COVID; presented in 2021) %G eng %U https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf %> https://waim.network/sites/crowston.syr.edu/files/CJ_2020_paper_26.pdf %0 Journal Article %J Academy of Management Annals %D 2020 %T Algorithms at work: The new contested terrain of control %A Kellogg, Katherine C. %A Valentine, Melissa A. %A Christin, Angéle %B Academy of Management Annals %V 14 %P 366 - 410 %8 Jan-01-2020 %G eng %N 1 %R 10.5465/annals.2018.0174 %0 Journal Article %J Cambridge Journal of Regions, Economy and Society %D 2020 %T Are machines stealing our jobs? %A Gentili, Andrea %A Compagnucci, Fabiano %A Gallegati, Mauro %A Valentini, Enzo %K cluster analysis %K e24 %K e66 %K j24 %K jel classifications %K labour dislocation %K robotisation %X This study aims to contribute empirical evidence to the debate about the future of work in an increasingly robotised world. We implement a data-driven approach to study the technological transition in six leading Organisation for Economic Co-operation and Development (OECD) countries. First, we perform a cross-country and cross-sector cluster analysis based on the OECD-STAN database. Second, using the International Federation of Robotics database, we bridge these results with those regarding the sectoral density of robots. We show that the process of robotisation is industry- and country-sensitive. In the future, participants in the political and academic debate may be split into optimists and pessimists regarding the future of human labour; however, the two stances may not be contradictory. %B Cambridge Journal of Regions, Economy and Society %V 13 %P 153–173 %G eng %R 10.1093/cjres/rsz025 %0 Book %D 2020 %T Artificial Intelligence and Judicial Modernization %A Cui, Yadong %I Springer Singapore %C Singapore %@ 978-981-32-9879-8 %G eng %R 10.1007/978-981-32-9880-4 %0 Journal Article %J Journal of the Association for Information Science and Technology %D 2020 %T Artificial intelligence and the world of work, a co-constitutive relationship %A Østerlund, Carsten %A Jarrahi, Mohammad Hossein %A Willis, Matthew %A Boyd, Karen %A Wolf, Christine %X

The use of intelligent machines—digital technologies that feature data- driven forms of customization, learning, and autonomous action—is rapidly growing and will continue to impact many industries and domains. This is consequential for communities of researchers, educators, and practitioners concerned with studying, supporting, and educating information profes- sionals. In the face of new developments in artificial intelligence (AI), the research community faces 3 questions: (a) How is AI becoming part of the world of work? (b) How is the world of work becoming part of AI? and (c) How can the information community help address this topic of Work in the Age of Intelligent Machines (WAIM)? This opinion piece considers these 3 questions by drawing on discussion from an engaging 2019 iConference workshop organized by the NSF supported WAIM research coordination net- work (note: https://waim.network).

%B Journal of the Association for Information Science and Technology %G eng %R 10.1002/asi.24388 %0 Conference Paper %B Proceedings of the 6th International Conference on Social, economic, and academic leadership (ICSEAL-6-2019) %D 2020 %T Artificial Intelligence in the Criminal Justice System: Leading Trends and Possibilities %A Sushina, Tatyana %A Sobenin, Andrew %K artificial intelligence %K criminal justice system %K digital technologies %K Leadership %B Proceedings of the 6th International Conference on Social, economic, and academic leadership (ICSEAL-6-2019) %I Atlantis Press %C Paris, France %V 441 %P 432–437 %@ 978-94-6252-974-8 %G eng %U https://www.atlantis-press.com/article/125940991 %R 10.2991/assehr.k.200526.062 %0 Conference Paper %B Proceedings of the 53rd Hawaii International Conference on System Sciences %D 2020 %T Assessing the Business Impact of Artificial Intelligence %A Dietzmann, Christian %A Alt, Rainer %X El autor propone la creación de una agencia que certificque los procesos de IA. El no certificado RCO. Tambien habla de las características de la IA y la dificutlad para regularlas. Sustenta cual debe ser el ente encargado de regular la IA. Tiene en cuenta la historia de la IA y su evalución en el mercado. %B Proceedings of the 53rd Hawaii International Conference on System Sciences %V 3 %P 5170–5179 %@ 9780998133133 %G eng %R 10.24251/hicss.2020.635 %0 Report %D 2020 %T Automation: A Guide for Policymakers %A Bessen, James %A Goos, Maarten %A Salomons, Anna %A van den Berge, Wiljan %X

\ldots evidence that automation is causing mass unemployment, perhaps things are about to change. Some people, such as Martin Ford (2015), argue that “this time is different.” Perhaps the rate of technological change is much more rapid with new artificial intelligence technologies \ldots

%I Brookings Institute %G eng %U https://www.brookings.edu/research/automation-a-guide-for-policymakers/ %0 Generic %D 2020 %T Automation and Radiology—Part 1 %A Jha, Saurabh %B Academic Radiology %I Elsevier Inc. %V 27 %P 147–149 %G eng %U https://doi.org/10.1016/j.acra.2019.10.026 %R 10.1016/j.acra.2019.10.026 %0 Generic %D 2020 %T Automation Technologies and Employment at Risk : The Case of Mexico %A Cebreros, Alfonso %A Heffner-Rodríguez, Aldo %A Livas, René %A Puggioni, Daniela %I Banco de México %G eng %0 Generic %D 2019 %T AI, robots and jobs: Estimation and implications %A Eduardo Araral %G eng %U https://ehelf.nu.edu.kz/wp-content/uploads/2019/06/1-Eduardo-Araral-GSPP.pdf %0 Journal Article %J Digital Policy, Regulation and Governance %D 2019 %T AI’s path to the present and the painful transitions along the way %A Garcia-Murillo, Martha %A MacInnes, Ian %B Digital Policy, Regulation and Governance %V 21 %P 305 - 321 %8 Jan-05-2020 %G eng %N 3 %R 10.1108/DPRG-09-2018-0051 %0 Journal Article %J FlavorBot %D 2019 %T AI trained on decades of food research can concoct better recipes %B FlavorBot %G eng %U https://futurism.com/ai-food-research-better-recipes %0 Journal Article %J Asian Bioethics Review %D 2019 %T AI-Assisted Decision-making in Healthcare %A Lysaght, Tamra %A Lim, Hannah Yeefen %A Xafis, Vicki %A Ngiam, Kee Yuan %B Asian Bioethics Review %V 11 %P 299 - 314 %8 Jan-09-2019 %G eng %N 3 %R 10.1007/s41649-019-00096-0 %0 Journal Article %J Business & Information Systems Engineering %D 2019 %T AI-Based Digital Assistants %A Maedche, Alexander %A Legner, Christine %A Benlian, Alexander %A Berger, Benedikt %A Gimpel, Henner %A Hess, Thomas %A Hinz, Oliver %A Morana, Stefan %A Söllner, Matthias %B Business & Information Systems Engineering %V 61 %P 535 - 544 %8 Jan-08-2019 %G eng %N 4 %R 10.1007/s12599-019-00600-8 %0 Journal Article %J Transfer: European Review of Labour and Research %D 2019 %T Algorithms, artificial intelligence and automated decisions concerning workers and the risks of discrimination: the necessary collective governance of data protection %A Todolí-Signes, Adrián %B Transfer: European Review of Labour and Research %V 25 %P 465 - 481 %8 Jan-11-2019 %G eng %N 4 %R 10.1177/1024258919876416 %0 Journal Article %J International Studies Review %D 2019 %T Algorithms at War: The Promise, Peril, and Limits of Artificial Intelligence %A Jensen, Benjamin M %A Whyte, Christopher %A Cuomo, Scott %B International Studies Review %8 Dec-06-2020 %G eng %R 10.1093/isr/viz025 %0 Journal Article %J AI Daily %D 2019 %T Amazon's AI expansion %A Parth Mahendra %B AI Daily %8 06/2019 %G eng %U https://www.aidaily.co.uk/articles/amazons-ai-expansion %9 AI %0 Report %D 2019 %T The ambiguous labor market impact of automating prediction %A Agrawal, Ajay %A Gans, Joshua %A Goldfarb, Avi %I National Bureau of Economic Research %C Cambridge, MA %G eng %R 10.3386/w25619 %0 Journal Article %J Forbes %D 2019 %T Apple reminds us that behind the AI revolution lies an army of humans seeing our data %A Kalev Leetaru %B Forbes %G eng %U https://www.forbes.com/sites/kalevleetaru/2019/07/30/apple-reminds-us-that-behind-the-ai-revolution-lies-an-army-of-humans-seeing-our-data/#3dd2e8ba339d %0 Journal Article %J Biophysical Reviews %D 2019 %T Applications of artificial intelligence to imaging and diagnosis %A Nichols, James A. %A Herbert Chan, Hsien W. %A Baker, Matthew A. B. %B Biophysical Reviews %V 11 %P 111 - 118 %8 Jan-02-2019 %G eng %N 1 %R 10.1007/s12551-018-0449-9 %0 Journal Article %J Gizmodo %D 2019 %T Applying for your next job may be an automated nightmare %A Brian Merchant %K automation %K job %B Gizmodo %8 04/2019 %G eng %U https://gizmodo.com/applying-for-your-next-job-may-be-an-automated-nightmar-1834275825 %9 Automation %0 Journal Article %J The New Yorker %D 2019 %T Are robots competing for your job? %A Jill Lepore %B The New Yorker %8 03/2019 %G eng %U https://www.newyorker.com/magazine/2019/03/04/are-robots-competing-for-your-job %9 Annals of Technology %0 Journal Article %J Socius: Sociological Research for a Dynamic World %D 2019 %T Are robots stealing our jobs? %A Dahlin, Eric %B Socius: Sociological Research for a Dynamic World %V 5 %P 237802311984624 %8 Oct-01-2019 %G eng %R 10.1177/2378023119846249 %0 Journal Article %J IZA – Institute of Labor Economics %D 2019 %T Is an army of robots marching on Chinese jobs? %A Osea Giuntella %A Tianyi Wang %B IZA – Institute of Labor Economics %8 04/2019 %G eng %U https://www.iza.org/publications/dp/12281/is-an-army-of-robots-marching-on-chinese-jobs %N IZA DP No. 12281 %0 Journal Article %J Small Business Economics %D 2019 %T Artificial intelligence and big data in entrepreneurship: a new era has begun %A Obschonka, Martin %A Audretsch, David B. %B Small Business Economics %8 Jun-06-2019 %G eng %R 10.1007/s11187-019-00202-4 %0 Journal Article %J Journal of The Association of Physicians of India ■ Vol. 67 %D 2019 %T Artificial Intelligence and Deep Learning: The Future of Medicine and Medical Practice %A Madhusudana Girija Sanal %A Kolin Paul %A Senthil Kumar %A Nirmal Kumar Gangul %B Journal of The Association of Physicians of India ■ Vol. 67 %8 05/2019 %G eng %U https://www.semanticscholar.org/paper/Artificial-Intelligence-and-Deep-Learning%3A-The-of-Sanal-Paul/795dc72decfb12389bbf7076d82fef70421b9933 %0 Report %D 2019 %T Artificial intelligence and the future of labor demand %A Acemoglu, Daron %A Restrepo, Pascual %I National Bureau of Economic Research %C Cambridge, MA %G eng %R 10.3386/w25682 %0 Journal Article %J Drug Safety %D 2019 %T Artificial Intelligence and the Future of the Drug Safety Professional %A Danysz, Karolina %A Cicirello, Salvatore %A Mingle, Edward %A Assuncao, Bruno %A Tetarenko, Niki %A Mockute, Ruta %A Abatemarco, Danielle %A Widdowson, Mark %A Desai, Sameen %B Drug Safety %V 42 %P 491 - 497 %8 Jan-04-2019 %G eng %N 4 %R 10.1007/s40264-018-0746-z %0 Journal Article %J Independent %D 2019 %T Artificial intelligence conquers starcraft II in 'unimaginably unusual' AI breakthrough %A Anthony Cuthbertson %B Independent %G eng %U https://www.independent.co.uk/life-style/gadgets-and-tech/gaming/artificial-intelligence-starcraft-2-ai-deepmind-a9176601.html %0 Journal Article %J Industrial Management & Data Systems %D 2019 %T Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers %A Belanche, Daniel %A Casaló, Luis V. %A Flavián, Carlos %B Industrial Management & Data Systems %V 119 %P 1411 - 1430 %8 Dec-08-2019 %G eng %N 7 %R 10.1108/IMDS-08-2018-0368 %0 Journal Article %J Health Policy and Technology %D 2019 %T Artificial intelligence in medicine: What is it doing for us today? %A Becker, Aliza %B Health Policy and Technology %V 8 %P 198 - 205 %8 Jan-06-2019 %G eng %N 2 %R 10.1016/j.hlpt.2019.03.004 %0 Journal Article %J Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference %D 2019 %T Artificial intelligence in workplaces and how it will affect employment in Latvia %A Šukjurovs, Ilmārs %A Zvirgzdiņa, Rosita %A Jeromanova-Maura, Silva %B Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference %V 2 %P 154 %8 Aug-06-2020 %G eng %R 10.17770/etr2019vol2.4151 %0 Magazine Article %D 2019 %T As Walmart turns to robots, it’s the human workers who feel like machines %A Drew Harwell %B The Washington Post %8 06/2019 %G eng %U https://www.washingtonpost.com/technology/2019/06/06/walmart-turns-robots-its-human-workers-who-feel-like-machines/ %9 Technology %0 Report %D 2019 %T Automation and new tasks: How technology displaces and reinstates labor %A Acemoglu, Daron %A Restrepo, Pascual %I National Bureau of Economic Research %C Cambridge, MA %G eng %R 10.3386/w25684 %0 Journal Article %J Journal of Management Inquiry %D 2019 %T Automation as Part of the Solution %A Levine, David I. %B Journal of Management Inquiry %V 28 %P 316 - 318 %8 Jun-07-2021 %G eng %N 3 %R 10.1177/1056492619827375 %0 Journal Article %J International Review of Economics & Finance %D 2019 %T Automation, wage inequality and implications of a robot tax %A Zhang, Pengqing %B International Review of Economics & Finance %V 59 %P 500 - 509 %8 Jan-01-2019 %G eng %R 10.1016/j.iref.2018.10.013 %0 Journal Article %J data-efficient ML %D 2018 %T Accounting for the neglected dimensions of AI progress %A Fernando Martine-Plumed %A Shahar Avin %A Miles Brundage %A Allan Dafoe %A Sean O hEigeartaigh %A José Hernández-Orallo %B data-efficient ML %G eng %U https://arxiv.org/abs/1806.00610 %0 Book %B Proceedings of the 1st International Conference on Intelligent Human Systems Integration %D 2018 %T Advances in intelligent systems and computing %A Advances in Intelligent Systems and Computing 722 Waldemar Karwowski %B Proceedings of the 1st International Conference on Intelligent Human Systems Integration %G eng %U https://link.springer.com/book/10.1007/978-3-030-11051-2?page=2 %0 Journal Article %J MATEC Web of Conferences %D 2018 %T Advances in the development of a cognitive user interface %A Jokisch, Oliver %A Huber, Markus %E Ronzhin, A. %E Shishlakov, V. %B MATEC Web of Conferences %V 161 %P 01003 %8 Jan-01-2018 %G eng %U https://www.matec-conferences.org/10.1051/matecconf/201816101003https://www.matec-conferences.org/10.1051/matecconf/201816101003/pdf %R 10.1051/matecconf/201816101003 %0 Web Page %D 2018 %T A.I. And big data could power a new war on poverty %A Elisabeth a. Mason %8 01/2018 %G eng %U https://www.nytimes.com/2018/01/01/opinion/ai-and-big-data-could-power-a-new-war-on-poverty.html %0 Report %D 2018 %T AI and the Economy %A Furman, Jason %A Seamans, Robert %I National Bureau of Economic Research %C Cambridge, MA %G eng %R 10.3386/w24689 %0 Conference Paper %B 21st DMI: Academic Design Management Conference %D 2018 %T AI Assistants as Non-human Actors in Service Design %A TiTitta Jylkastta Jylkäs %A Mikko Äijälä %A Tytti Vuorikari %A Vésaal Rajab %B 21st DMI: Academic Design Management Conference %G eng %U https://www.researchgate.net/publication/326997609_AI_Assistants_as_Non-human_Actors_in_Service_Design?enrichId=rgreq-80a84e881501993f8b87a3d6387900aa-XXX&enrichSource=Y292ZXJQYWdlOzMyNjk5NzYwOTtBUzo2NTkyMjU4MjI5MTY2MTBAMTUzNDE4MzA5Mjk2MQ%3D%3D&el=1_x_2&_ %0 Magazine Article %D 2018 %T AI: Augmentation, more so than automation %A Steven Miller %B Asian Management Insights %I Singapore Management University %G eng %U https://cmp.smu.edu.sg/ami/all %0 Web Page %D 2018 %T AI Could Provide Moment-by-Moment Nursing for a Hospital’s Sickest Patients %A Behnood Gholami %A Wassim M. Haddad %A James M. Bailey %B spectrum.ieee.org %G eng %U https://globaltechnologies.ca/ai-could-provide-moment-by-moment-nursing-for-a-hospitals-sickest-patients/ %0 Journal Article %J venturebeat %D 2018 %T AI is coming after highly skilled jobs, and it’s meeting resistance %A Sascha Eder %K AI %B venturebeat %G eng %U https://venturebeat.com/2018/03/04/ai-is-coming-after-highly-skilled-jobs-and-its-meeting-resistance/ %0 Conference Paper %B the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES '18 %D 2018 %T AI risk mitigation through democratic governance %A Garvey, Colin %Y Furman, Jason %Y Marchant, Gary %Y Price, Huw %Y Rossi, Francesca %B the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES '18 %I ACM Press %C New Orleans, LA, USANew York, New York, USA %P 366 - 367 %@ 9781450360128 %G eng %R 10.1145/3278721.3278801 %0 Web Page %D 2018 %T AI stumbles in the spotlight %A Kaveh Waddell %G eng %U https://www.axios.com/artificial-intelligence-mistakes-limitations-amazon-ibm-14014597-03e9-43e3-b224-a91205a232c1.html %0 Journal Article %J Journal of Affective Disorders %D 2018 %T Applications of machine learning algorithms to predict therapeutic outcomes in depression: A meta-analysis and systematic review %A Lee, Yena %A Ragguett, Renee-Marie %A Mansur, Rodrigo B. %A Boutilier, Justin J. %A Rosenblat, Joshua D. %A Trevizol, Alisson %A Brietzke, Elisa %A Lin, Kangguang %A Pan, Zihang %A Subramaniapillai, Mehala %A Chan, Timothy C.Y. %A Fus, Dominika %A Park, Caroline %A Musial, Natalie %A Zuckerman, Hannah %A Chen, Vincent Chin-Hung %A Ho, Roger %A Rong, Carola %A McIntyre, Roger S. %B Journal of Affective Disorders %V 241 %P 519-532 %G eng %R 10.1016/j.jad.2018.08.073 %0 Thesis %B International Design Business Management %D 2018 %T Archetypes of artificial intelligence utilization %A Selim Saukkomaa %B International Design Business Management %G eng %U https://aaltodoc.aalto.fi/handle/123456789/33983 %0 Journal Article %J Radiology %D 2018 %T Are You Working with AI or Being Replaced by AI? %A Bluemke, David A. %B Radiology %V 287 %P 365 - 366 %8 Jan-05-2018 %G eng %N 2 %R 10.1148/radiol.2018184007 %0 Conference Paper %D 2018 %T Artificial General Intelligence %A Matthew Iklé %A Arthur Franz %A Rafal Rzepka %A Ben Goertzel %G eng %U https://ivizlab.org/wp-content/uploads/sites/2/2018/09/TurnerDiPaola_2018_ArtificialGeneralIntelligence.pdf %0 Journal Article %J International Journal of Computer Science and Network Security %D 2018 %T Artificial Intelligence: A Case Study on Risk Mitigation %A Ahmed AL-Gindy %K AI application %K artificial intelligence %K Risk mitigation %X Artificial intelligence technologies are expanding at an extraordinary rate with wide range of applications from machine translation to medical image analysis. Many applications are being developed and there is no doubt that in the near future this will create substantial risk for humanity. In addition, Artificial intelligence is a dual use are of technology as it can be used toward useful of harmful ends, for example autonomous drones can be used to deliver packages faster and easier and on the other hand, they can be used to deliver explosives. This literature review research investigates different types of artificial intelligence risks and proposes ways to mitigate these risks. %B International Journal of Computer Science and Network Security %V 18 %P 9-12 %8 04/2018 %G eng %N 4 %0 Report %D 2018 %T Artificial intelligence and privacy in the fourth industrial revolution %A Sarah W. Denton %A Eleonore Pauwels %B synenergene %I Institute for Philosophy & Public Policy %G eng %U https://www.wilsoncenter.org/sites/default/files/ai_and_privacy.pdf %0 Journal Article %J Technology in Society %D 2018 %T Artificial intelligence and sports journalism: Is it a sweeping change? %A Yair Galily %B Technology in Society %G eng %R 10.1016/j.techsoc.2018.03.001 %0 Journal Article %J Business Horizons %D 2018 %T Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making %A Mohammad Hossein Jarrahi %K Analytical and intuitive decision making %K artificial intelligence %K Human augmentation %K Human-machine symbiosis %K Organization decision making %X Artificial intelligence (AI) has penetrated many organizational processes, resulting in a growing fear that smart machines will soon replace many humans in decision making. To provide a more proactive and pragmatic perspective, this article highlights the complementarity of humans and AI and examines how each can bring their own strength in organizational decision-making process typically characterized by uncertainty, complexity, and equivocality. WIth a greater computational information processing capacity and an analytical approach, AI can extend humans' cognition when addressing complexity, whereas human can still offer a more holistic, intuitive approach in dealing with uncertainty and equivocality in organizational decision making. This premise mirrors the idea of intelligence augmentation, which states that AI systems should be designed with the intention of augmenting, not replacing, human contribution. %B Business Horizons %7 586 %I Elsevier %V 61 %G eng %& 577 %R 10.1016/j.bushor.2018.03.007 %0 Journal Article %J Business Horizons %D 2018 %T Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making %A Jarrahi, Mohammad Hossein %B Business Horizons %V 61 %P 577 - 586 %8 Jan-07-2018 %G eng %N 4 %R 10.1016/j.bushor.2018.03.007 %0 Conference Paper %B 14th IFIP WG 12.5 International Conference, AIAI 2018 %D 2018 %T Artificial Intelligence Applications and Innovations %A Lazaros Iliadis %A Ilias Maglogiannis %A Vassilis Plagianakos %B 14th IFIP WG 12.5 International Conference, AIAI 2018 %G eng %U https://www.springer.com/gp/book/9783319920153 %0 Journal Article %D 2018 %T Artificial intelligence can transform the economy %A Erik Brynjolfsson %A Xiang Hui %A Meng Liu %8 09/2018 %G eng %U https://www.washingtonpost.com/opinions/artificial-intelligence-can-transform-the-economy/2018/09/18/50c9c9c8-bab8-11e8-bdc0-90f81cc58c5d_story.html %0 Book %D 2018 %T Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide %A Vassilis Galanos %E Kreps, David %E Ess, Charles %E Leenen, Louise %E Kimppa, Kai %I Springer International Publishing %C Cham %V 537 %P 359 - 373 %@ 978-3-319-99604-2 %G eng %R 10.1007/978-3-319-99605-9_27 %0 Book %D 2018 %T Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide %A Vassilis Galanos %E Kreps, David %E Ess, Charles %E Leenen, Louise %E Kimppa, Kai %I Springer International Publishing %C Cham %V 537 %P 359 - 373 %@ 978-3-319-99604-2 %G eng %R 10.1007/978-3-319-99605-9_27 %0 Conference Paper %B IFIP International Conference on Human Choice and Computers %D 2018 %T Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide %A Vassilis Galanos %B IFIP International Conference on Human Choice and Computers %G eng %U https://doi.org/10.1007/978-3-319-99605-9_27 %0 Journal Article %J Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences %D 2018 %T Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration %A Mikhaylov, Slava Jankin %A Esteve, Marc %A Campion, Averill %B Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences %V 376 %P 20170357 %8 Jan-09-2019 %G eng %N 2128 %R 10.1098/rsta.2017.0357 %0 Journal Article %J Risk Management and Insurance Review %D 2018 %T Artificial intelligence: Implications for social inflation and insurance %A Kelley, Kevin H. %A Fontanetta, Lisa M. %A Heintzman, Mark %A Pereira, Nikki %B Risk Management and Insurance Review %V 21 %P 373 - 387 %8 Jan-12-2018 %G eng %N 3 %R 10.1111/rmir.12111 %0 Journal Article %J Journal of the American College of Cardiology %D 2018 %T Artificial Intelligence in Cardiology %A Johnson, Kipp W. %A Torres Soto, Jessica %A Glicksberg, Benjamin S. %A Shameer, Khader %A Miotto, Riccardo %A Ali, Mohsin %A Ashley, Euan %A Joel T. Dudley %B Journal of the American College of Cardiology %V 71 %P 2668 - 2679 %8 Jan-06-2018 %G eng %N 23 %R 10.1016/j.jacc.2018.03.521 %0 Journal Article %J Cureus %D 2018 %T Artificial Intelligence in Medicine and Radiation Oncology %A Weidlich, Vincent %A Weidlich, Georg A. %K artificial intelligence %K big data %K error analysis %K error prevention %K machine learning %K process efficiency %K process optimization %K quality improvement %K radiation oncology %X Artificial Intelligence (AI) was reviewed with a focus on its potential applicability to radiation oncology. The improvement of process efficiencies and the prevention of errors were found to be the most significant contributions of AI to radiation oncology. It was found that the prevention of errors is most effective when data transfer processes were automated and operational decisions were based on logical or learned evaluations by the system. It was concluded that AI could greatly improve the efficiency and accuracy of radiation oncology operations. %B Cureus %8 Jan-04-2019 %G eng %U https://www.cureus.com/articles/11443-artificial-intelligence-in-medicine-and-radiation-oncology %R 10.7759/cureus.2475 %0 Journal Article %J Journal of Service Research %D 2018 %T Artificial Intelligence in Service %A Huang, Ming-Hui %A Rust, Roland T. %B Journal of Service Research %V 21 %P 155 - 172 %8 May-05-2018 %G eng %N 2 %R 10.1177/1094670517752459 %0 Journal Article %J Electronics Science Technology and Application %D 2018 %T Artificial intelligence in the computer-age threatens human beings and working conditions at workplaces %A Saithibvongsa, Phothong %A Yu, Jae Eon %B Electronics Science Technology and Application %V 5 %8 Feb-08-2019 %G eng %N 3 %R 10.18686/esta.v5i3.76 %0 Thesis %B Management Engineering Department %D 2018 %T Artificial Intelligence In The Sport Industry %A Jacopo Mosele %B Management Engineering Department %G eng %U https://www.politesi.polimi.it/bitstream/10589/142501/1/ARTIFICIAL%20INTELLIGENCE%20IN%20THE%20SPORT%20INDUSTRY_JACOPO%20MOSELE.pdf %0 Web Page %D 2018 %T Artificial Intelligence Is Automating Hollywood %A Dan Robitzki %K AI use cases %B Futurism %8 07/2018 %G eng %U https://futurism.com/artificial-intelligence-automating-hollywood-art %0 Generic %D 2018 %T Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter %A Thomas Gries %A Wim Naude %K artificial intelligence %K economics of automation %K growth theory %K innovation %K labour demand %K productivity %K technology %B Maastricht Economic and social Research institute on Innovation and Technology %I Maastricht University %G eng %U http://ftp.iza.org/dp12005.pdf %0 Journal Article %J Journal of Global Health %D 2018 %T Artificial intelligence, machine learning and health systems %A Panch, Trishan %A Szolovits, Peter %A Atun, Rifat %B Journal of Global Health %V 8 %8 Sep-10-2019 %G eng %N 2 %R 10.7189/jogh.08.020303 %0 Journal Article %J British Journal of Radiology %D 2018 %T Artificial intelligence, machine learning and the evolution of healthcare A bright future or cause for concern? %A L.D. Jones %A D. Golan %A S. A. Hanna %A M. Ramachandran %K artificial intelligence %K deep learning %K machine learning %B British Journal of Radiology %V 7 %P 223-225 %G eng %N 7 %9 Editorial %0 Journal Article %J Bone & Joint Research %D 2018 %T Artificial intelligence, machine learning and the evolution of healthcare %A Jones, L. D. %A D. Golan %A S. A. Hanna %A M. Ramachandran %B Bone & Joint Research %V 7 %P 223 - 225 %8 Jan-03-2018 %G eng %N 3 %R 10.1302/2046-3758.73.BJR-2017-0147.R1 %0 Report %D 2018 %T As s essing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour %A Emilia Gómez %A Carlos Castillo %A Vicky Charisi %A Verónica Dahl %A Gustavo Deco %A Blagoj Delipetrev %A Nicole Dewandre %A Miguel Ángel González-Ballester %A Fabien Gouyon %A José Hernández-Orallo %A Perfecto Herrera %A Anders Jonsson %A Ansgar Koene %A Martha Larson %A Ramón López de Mántaras %A Bertin Martens %A Marius Miron %A Rubén Moreno-Bote %A Nuria Oliver %A Antonio Puertas Gallardo %A Heike Schweitzer %A Nuria Sebastian %A Xavier Serra %A Joan Serrà %A Songül Tolan %A Karina Vold %G eng %U https://arxiv.org/ftp/arxiv/papers/1806/1806.03192.pdf %0 Conference Paper %D 2018 %T Assisting tourism in rural Southern Africa using machine learning %A Laurie Butgereit %A Laura Martinus %X Tourism is a major contributor to employment in southern Africa and a major contributor to gross domestic products of many southern African countries. One of the major tourist attractions in many southern African countries is the wild animals. Major national parks such as Etosha in Namibia and Central Kalahari in Botswana often have rangers available to assist tourists on their game safaris by recognising animals and describing their habitats. Many of the smaller reserves, however, do not have the luxury of rangers available to tourists. At such smaller reserves, tourists are left on their own to recognise the various animals. This paper describes the use of Google's TensorFlow to create an image recogniser trained for southern African mammals. The recogniser was embedded in an Android mobile app and could then assist tourists at smaller reserves. %I IEEE %G eng %U https://ieeexplore.ieee.org/document/8465441 %0 Journal Article %J Asian Journal of Convergence in Technology %D 2018 %T Automated Classification of chest X-ray images as normal or abnormal using Convolutional Neural Network %A Aayushi Gupta %A Anupama C %A P Indumathi %A Anuj Kumar %K classification %K machine learning %K radiology %X Chest X-Rays are generally used for diagnosing abnormalities in the thoracic area. Radiologists need to spend significant amount of time for interpreting scans. Automatic classification of these images could greatly help radiology interpretation process by enhancing real world diagnosis of problems. Hence, radiologists can focus on detecting abnormalities from the abnormal images rather than checking for it in all the images. In this paper, we present a machine learning approach to solve this problem. Here, the algorithm uses COnvolutional Neural Networks (CNN) to learn and classify chest X-ray images as normal or abnormal based on image features. %B Asian Journal of Convergence in Technology %V 4 %8 04/2018 %G eng %N 1 %0 Journal Article %J Geoforum %D 2018 %T Automating the black art: Creative places for artificial intelligence in audio mastering %A Birtchnell, Thomas %A Elliott, Anthony %B Geoforum %V 96 %P 77-86 %G eng %U https://linkinghub.elsevier.com/retrieve/pii/S0016718518302392 %R 10.1016/j.geoforum.2018.08.005 %0 Generic %D 2018 %T Automation and the future of jobs in India %A Francis Kuriakose %A Deepa Iyer %K economics of automation %B Center For The Advanced Study of India %I University of Pennsylvania %8 11/2018 %G eng %U https://casi.sas.upenn.edu/iit/kuriakoseiyer %9 Economy, Politics, Science and Technology %0 Journal Article %J Centre for International Governance Innovation %D 2018 %T Automation and the future of work %A Joel Blit %A Samantha St. Amand %A Joanna Wajda %B Centre for International Governance Innovation %G eng %U https://www.cigionline.org/publications/automation-and-future-work-scenarios-and-policy-options %N 174 %0 Report %D 2018 %T Is automation labor-displacing? Productivity growth, employment, and the labor share %A Autor, David %A Salomons, Anna %I National Bureau of Economic Research %C Cambridge, MA %G eng %R 10.3386/w24871 %0 Generic %D 2018 %T Automation, taxes and transfers with international rivalry %A Rod Tyers %A Yixiao Zhou %K automation %K global modelling %K income distribution %K taxes %K transfers %B Centre for Applied Macroeconomic Analysis %I Australian National University %G eng %U https://cama.crawford.anu.edu.au/sites/default/files/publication/cama_crawford_anu_edu_au/2018-09/44_2018_tyers_zhou.pdf %0 Journal Article %J Communications of the ACM %D 2018 %T Autonomous tools and design: a triple-loop approach to human-machine learning %A Seidel, Stefan %A Berente, Nicholas %A Lindberg, Aron %A Lyytinen, Kalle %A Jeffrey V Nickerson %B Communications of the ACM %I ACM %V 62 %P 50–57 %G eng %0 Journal Article %J Computer %D 2018 %T Autonomous Tools in System Design: Reflective Practice in Ubisofts Ghost Recon Wildlands Project %A Seidel, Stefan %A Berente, Nicholas %A Martinez, Beno\^ıt %A Lindberg, Aron %A Lyytinen, Kalle %A Jeffrey V Nickerson %B Computer %I IEEE %V 51 %P 16–23 %G eng %0 Report %D 2018 %T Autonomous trucks and the future of the american trucker %A Steve Viscelli %B UC Berkeley Center for Labor Research and Education and Working Partnerships USA %8 09/2018 %G eng %U https://www.steveviscelli.com/self-driving-trucks %0 Report %D 2018 %T Autonomous vehicles employment impact study %A Brian Haratsis %A Tony Carmichael %A Mark Coutney %A Jacob Fong %B Australia & New Zealand Driverless Vehicle Initiate %8 09/2018 %G eng %U https://advi.org.au/wp-content/uploads/2018/09/Autonomous-Vehicles-Employment-Impact-Survey-COR050918-5.pdf %0 Book Section %D 2017 %T Agents as collaborating team members %A Abhijit V. Deshmukh %A Sara A.McComb %A Christian Wernz %K bots %I EBSCO %8 09/2017 %G eng %U https://www.taylorfrancis.com/books/e/9781315593166/chapters/10.1201/9781315593166-7 %0 Web Page %D 2017 %T AI AND THE GHOST IN THE MACHINE %A Cameron Coward %B HACKADAY %G eng %U http://hackaday.com/2017/02/06/ai-and-the-ghost-in-the-machine/ %0 Web Page %D 2017 %T AI can take over our mundane tasks %A Gordon Ritter %X

Here’s how human workers can learn new, more stimulating skills

%B vox %8 10/2017 %G eng %U https://www.vox.com/2017/10/18/16492156/coaching-cloud-future-work-jobs-artificial-intelligence-ai-enterprise-employee-training %0 Newspaper Article %B Science %D 2017 %T The AI detectives %A Voosen, Paul %B Science %V 357 %P 22 - 27 %8 Jul-07-2017 %G eng %N 6346 %R 10.1126/science.357.6346.22 %0 Web Page %D 2017 %T AI has become so popular in picking stocks that it’s become ineffective %A Ryan Vlastelica %B MarketWatch %8 10/2017 %G eng %U https://www.marketwatch.com/story/ai-has-become-so-popular-in-picking-stocks-that-its-become-ineffective-2017-10-06 %0 Journal Article %J Science %D 2017 %T AI in Action: Combing the genome for the roots of autism %A Pennisi, Elizabeth %B Science %V 357 %P 25 - 25 %8 Jul-07-2017 %G eng %N 6346 %R 10.1126/science.357.6346.25 %0 Journal Article %J Science %D 2017 %T AI in Action: Machines that make sense of the sky %A Sokol, Joshua %B Science %V 357 %P 26 - 26 %8 Jul-07-2017 %G eng %N 6346 %R 10.1126/science.357.6346.26 %0 Journal Article %J Communications of the ACM %D 2017 %T AI in contact centers %A Kirkpatrick, Keith %B Communications of the ACM %V 60 %P 18 - 19 %8 Dec-07-2018 %G eng %N 8 %R 10.1145/312734310.1145/3105442 %0 Journal Article %J salesforce %D 2017 %T AI will create 800,000 jobs and $1.1 trillion revenue by 2021: Salesforce %A Tas Bindi %B salesforce %8 06/2017 %G eng %U https://www.salesforce.com/company/news-press/press-releases/2017/06/170614/ %9 AI %0 Journal Article %J Information, Communication & Society %D 2017 %T Algorithmic IF  … THEN rules and the conditions and consequences of power %A Neyland, Daniel %A Möllers, Norma %B Information, Communication & Society %V 20 %P 45 - 62 %8 Feb-01-2017 %G eng %N 1 %R 10.1080/1369118X.2016.1156141 %0 Journal Article %J Information, Communication & Society %D 2017 %T The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms %A Bucher, Taina %B Information, Communication & Society %V 20 %P 30 - 44 %8 Feb-01-2017 %G eng %N 1 %R 10.1080/1369118X.2016.1154086 %0 Journal Article %J Information, Communication & Society %D 2017 %T Algorithmically recognizable: Santorum’s google problem, and google’s santorum problem %A Gillespie, Tarleton %B Information, Communication & Society %V 20 %P 63 - 80 %8 Feb-01-2017 %G eng %N 1 %R 10.1080/1369118X.2016.1199721 %0 Journal Article %J Information, Communication & Society %D 2017 %T Algorithms (and the) everyday %A Willson, Michele %B Information, Communication & Society %V 20 %P 137 - 150 %8 Feb-01-2017 %G eng %N 1 %R 10.1080/1369118X.2016.1200645 %0 Journal Article %J AEIdeas %D 2017 %T Anxiety about automation and jobs: Will we see anti-tech laws? %A James Pethokoukis %B AEIdeas %8 07/2017 %G eng %U https://www.aei.org/economics/anxiety-about-automation-and-jobs-will-we-see-anti-tech-laws/ %9 economics %0 Conference Paper %B Scientific Methods in Academic Research and Teaching International Conference %D 2017 %T Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety %A Utku Köse %K artificial intelligence %K artificial intelligence safety %K future of artificial intelligence %K machine ethics %K machine learning %X Nowadays, there is a serious anxiety on the existence of dangerous intelligent systems and it is not just a science-fiction idea of evil machines like the ones in well-known Terminator movie or any other movies including intelligent robots - machines threatening the existence of humankind. So, there is a great interest in some alternative research works under the topics of Machine Ethics, and Existential Risks. The objective of this study is to provide a general discussion about the expressed research topics and try to find some answers to the question of 'Are we safe enough in the future of Artificial Intelligence?'. In detail, the discussion includes a comprehensive focus on 'dystopic' scenarios, enables interested researchers to think about some 'moral dilemmas' and family have some ethical outputs that are considerable for developing good intelligent systems. From a general perspective, the discussion taken here is a good opportunity to improve awareness on the mentioned, remarkable research topics associated with not only Artificial Intelligence but also many other natural and social sciences taking role in the humankind %B Scientific Methods in Academic Research and Teaching International Conference %P 184-197 %G eng %0 Generic %D 2017 %T Artificial intelligence and the modern productivity paradox: a clash of expectations and statistics %A Erik Brynjolfsson %A Daniel Rock %A Chad Syverson %K economics of automation %B National bureau of economic research %8 11/2017 %G eng %U http://www.nber.org/papers/w24001 %0 Book %B A Chapman & Hall Book %D 2017 %T Artificial Intelligence and the two singularities %A Calum Chace %B A Chapman & Hall Book %7 1st %I EBSCO %8 08/2018 %G eng %U https://www.amazon.com/Artificial-Intelligence-Singularities-Chapman-Robotics/dp/0815368534 %0 Report %D 2017 %T Artificial Intelligence For Social Good %A Gregory D. Hager %A Ann Drobnis %A Fei Fang %A Rayid Ghani %A Amy Greenwald %A Terah Lyons %A David C. Parkes %A Jason Schultz %A Suchi Saria %A Stephen F. Smith %A Milind Tambe %G eng %U https://cra.org/ccc/wp-content/uploads/sites/2/2016/04/AI-for-Social-Good-Workshop-Report.pdf %0 Journal Article %J Stroke and Vascular Neurology %D 2017 %T Artificial intelligence in healthcare: past, present and future %A Jiang, Fei %A Jiang, Yong %A Zhi, Hui %A Dong, Yi %A Li, Hao %A Ma, Sufeng %A Wang, Yilong %A Dong, Qiang %A Shen, Haipeng %A Wang, Yongjun %B Stroke and Vascular Neurology %V 2 %P 230 - 243 %8 Aug-12-2018 %G eng %N 4 %R 10.1136/svn-2017-000101 %0 Journal Article %J Science %D 2017 %T Artificial intelligence in research %A Musib, Mrinal %A Wang, Feng %A Tarselli, Michael A. %A Yoho, Rachel %A Yu, Kun-Hsing %A Andrés, Rigoberto Medina %A Greenwald, Noah F. %A Pan, Xubin %A Lee, Chien-Hsiu %A Zhang, Jian %A Dutton-Regester, Ken %A Johnston, Jake Wyatt %A Sharafeldin, Icell Mahmoud %B Science %V 357 %P 28 - 30 %8 Jul-07-2017 %G eng %N 6346 %R 10.1126/science.357.6346.28 %0 Report %D 2017 %T Artificial Intelligence Index %A Yoav Shoham %A Raymond Perrault %A Erik Brynjolfsson %A Jack Clark %G eng %U https://aiindex.org/2017-report.pdf %0 Magazine Article %D 2017 %T Artificial Intelligence: The next digital frontier %A Jaccques Bughin %A Eric Hazan %A Sree Ramaswamy %A Michael Chui %A Tera Allas %A Peter Dahlstrom %A Nicolaus Henke %A Monica Trench %B McKinsey Global Institute %G eng %U https://www.mckinsey.com/~/media/McKinsey/Industries/Advanced%20Electronics/Our%20Insights/How%20artificial%20intelligence%20can%20deliver%20real%20value%20to%20companies/MGI-Artificial-Intelligence-Discussion-paper.ashx %0 Web Page %D 2017 %T As amazon pushes forward with robots, workers find new roles %A Nick Wingfield %B The New York Times %8 10/2017 %G eng %U https://www.nytimes.com/2017/09/10/technology/amazon-robots-workers.html %0 Journal Article %J Journal of Safety Research %D 2017 %T Assessing drivers' response during automated driver support system failures with non-driving tasks %A Shen, Sijun %A Neyens, David M. %B Journal of Safety Research %V 61 %P 149 - 155 %8 Jan-06-2017 %G eng %R 10.1016/j.jsr.2017.02.009 %0 Journal Article %J Journal of Southeast Asian Economies %D 2017 %T Automation, computerisation and future employment in Singapore %A King Fuei Lee %K economics of automation %B Journal of Southeast Asian Economies %V 34 %G eng %U https://mpra.ub.uni-muenchen.de/79961/ %6 2 %0 Journal Article %J Southeast Asian Economies %D 2017 %T Automation, computerization and future employment in Singapore %A Fuei, Lee King %B Southeast Asian Economies %V 34 %P 388 - 399 %8 Jul-08-2019 %G eng %N 2 %R 10.1355/ae34-2h %0 Conference Proceedings %B Workshop on Engineering Applications (WEA 2017): Applied Computer Sciences in Engineering %D 2017 %T Automation of a Business Process Using Robotic Process Automation (RPA): A Case Study %A Aguirre, Santiago %A Rodriguez, Alejandro %E Figueroa-García, Juan Carlos %E López-Santana, Eduyn Ramiro %E Villa-Ramírez, José Luis %E Ferro-Escobar, Roberto %B Workshop on Engineering Applications (WEA 2017): Applied Computer Sciences in Engineering %I Springer International Publishing %C Cham %V 742 %P 65 - 71 %@ 978-3-319-66962-5 %G eng %R 10.1007/978-3-319-66963-2_7 %0 Magazine Article %D 2016 %T AI can show us the ravages of climate change %A Will Knight %K AI use cases %B MIT Technology Review %G eng %U https://www.technologyreview.com/f/613547/ai-can-show-us-the-ravages-of-climate-change/ %0 Journal Article %J Science, Technology, & Human Values %D 2016 %T Algorithms, governance, and governmentality %A Introna, Lucas D. %B Science, Technology, & Human Values %V 41 %P 17 - 49 %8 Jun-01-2018 %G eng %N 1 %R 10.1177/0162243915587360 %0 Web Page %D 2016 %T AP Sports is using robot reporters to cover Minor League Baseball %A Lora Kolodny %B techcrunch %G eng %U https://techcrunch.com/2016/07/03/ap-sports-is-using-robot-reporters-to-cover-minor-league-baseball/ %0 Web Page %D 2016 %T AP's robot journalists are writing about Minor League Baseball now %A Rich McCormick %B theverge %G eng %U https://www.theverge.com/2016/7/4/12092768/ap-robot-journalists-automated-insights-minor-league-baseball %0 Report %D 2016 %T ARTIFICIAL INTELLIGENCE AND LIFE IN 2030 %G eng %U https://ai100.stanford.edu/sites/g/files/sbiybj9861/f/ai_100_report_0831fnl.pdf %0 Generic %D 2015 %T Artificial Intelligence and its Role in Near Future %A Jahanzaib Shabbir %A Tarique Anwer %V JOURNAL OF L A T E X CLASS FILES, VOL. 14, NO. 8, AUGUST 2015 %G eng %U https://www.semanticscholar.org/paper/Artificial-Intelligence-and-its-Role-in-Near-Future-Shabbir-Anwer/b93d9995f9ce3b15f4c4855ae62f0bf6f9bc041f %0 Report %D 2015 %T Artificial intelligence for the real world: Don't start with moon shots %A Thomas H. 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