Papers

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Book
Moore, P. V. (2019). Benefits and risks of artificial intelligence tools in workplaces (Vol. 11581, pp. 292 - 315; V. G. Duffy, Ed.). In (Vol. 11581, pp. 292 - 315). https://doi.org/10.1007/978-3-030-22216-1_22
Gemmell, L., Wenham, L., & Hauert, S.. (2019). Educating those most impacted by artificial intelligence (Vol. 11626, pp. 344 - 349; S. Isotani, Millán, E., Ogan, A., Hastings, P., McLaren, B., & Luckin, R., Eds.). In (Vol. 11626, pp. 344 - 349). https://doi.org/10.1007/978-3-030-23207-8_63
Gemmell, L., Wenham, L., & Hauert, S.. (2019). Educating those most impacted by artificial intelligence (Vol. 11626, pp. 344 - 349; S. Isotani, Millán, E., Ogan, A., Hastings, P., McLaren, B., & Luckin, R., Eds.). In (Vol. 11626, pp. 344 - 349). https://doi.org/10.1007/978-3-030-23207-8_63
Kim, S. Yun. (2019). The fourth industrial revolution: Trends and impacts on the world of work (pp. 177 - 194; S. McGrath, Mulder, M., Papier, J., & Suart, R., Eds.). In (pp. 177 - 194). https://doi.org/10.1007/978-3-319-94532-3_115
Kim, S. Yun. (2019). The fourth industrial revolution: Trends and impacts on the world of work (pp. 177 - 194; S. McGrath, Mulder, M., Papier, J., & Suart, R., Eds.). In (pp. 177 - 194). https://doi.org/10.1007/978-3-319-94532-3_115
Morgeson, F. P., & Campion, M. A.. (2003). Handbook of psychology work design (I. B. Weiner, Ed.). https://doi.org/10.1002/0471264385.wei1217
Mlynar, J., Alavi, H. S., Verma, H., & Cantoni, L.. (2018). Lecture Notes in Computer ScienceArtificial General IntelligenceTowards a Sociological Conception of Artificial Intelligence (Vol. 10999, pp. 130 - 139; M. Iklé, Franz, A., Rzepka, R., & Goertzel, B., Eds.). In (Vol. 10999, pp. 130 - 139). https://doi.org/10.1007/978-3-319-97676-1
Bosio, G., & Cristini, A.. (2018). The role of technological progress and structural change in the labour market (pp. 15 - 41; G. Bosio, Minola, T., Origo, F., & Tomelleri, S., Eds.). In (pp. 15 - 41). https://doi.org/10.1007/978-3-319-90548-8_2
Correia, A., Jameel, S., Paredes, H., Fonseca, B., & Schneider, D.. (2019). Steps toward a scaffolding design framework (pp. 149 - 161; V. - J. Khan, Papangelis, K., Lykourentzou, I., & Markopoulos, P., Eds.). In (pp. 149 - 161). https://doi.org/10.1007/978-3-030-12334-5_5
Dahya, R., & Morris, A.. (2019). Toward a conceptual framework for understanding AI action and legal reaction (Vol. 11489, pp. 453 - 459; M. - J. Meurs & Rudzicz, F., Eds.). In (Vol. 11489, pp. 453 - 459). https://doi.org/10.1007/978-3-030-18305-9_44
Dahya, R., & Morris, A.. (2019). Toward a conceptual framework for understanding AI action and legal reaction (Vol. 11489, pp. 453 - 459; M. - J. Meurs & Rudzicz, F., Eds.). In (Vol. 11489, pp. 453 - 459). https://doi.org/10.1007/978-3-030-18305-9_44
Willis, M., & Meyer, E. T.. (2018). Understanding tasks, automation, and the national health service (Vol. 10766, pp. 544 - 549; G. Chowdhury, McLeod, J., Gillet, V., & Willett, P., Eds.). In (Vol. 10766, pp. 544 - 549). https://doi.org/10.1007/978-3-319-78105-1_60
Willis, M., & Meyer, E. T.. (2018). Understanding tasks, automation, and the national health service (Vol. 10766, pp. 544 - 549; G. Chowdhury, McLeod, J., Gillet, V., & Willett, P., Eds.). In (Vol. 10766, pp. 544 - 549). https://doi.org/10.1007/978-3-319-78105-1_60
Book Chapter
Humphries, G., & Huettmann, F.. (2018). Machine Learning in Wildlife Biology: Algorithms, Data Issues and Availability, Workflows, Citizen Science, Code Sharing, Metadata and a Brief Historical Perspective. In G. Humphries, Magness, D. R., & Huettmann, F. (Eds.), Machine Learning for Ecology and Sustainable Natural Resource Management (pp. 3 - 26). https://doi.org/10.1007/978-3-319-96978-7_1
Morgeson, F. P., & Campion, M. A.. (2003). Work design. In W. Borman, Ilgen, D., & Klimoski, R. (Eds.), Handbook of Psychology: Industrial and Organizational Psychology (pp. 423–452). Hoboken, NY: Wiley.

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