Artificial Intelligence: A Case for Ethical Design and Multidisciplinarity

Author:

Agerwala Tilak

Publisher

Springer Nature Singapore

Reference80 articles.

1. Agerwala, T., Amaro, R., DiMatteo, T., Lazowska, E., Raghavan, P., Pascucci, V., & Taylor, V. (2021, May). Opportunities in artificial intelligence (AI) and machine learning (ML). U.S. National Science Foundation Advisory Committee for Cyberinfrastructure, Cyberinfrastructure Research and Innovation Working Group Report. https://nsf.gov/cise/oac/CIRI-WG-Final-Report.pdf

2. Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016, May 23). Machine bias. ProPublica. https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing. Accessed May 21, 2020.

3. Barry, K. (2021, November 11). Elon Musk, self-driving, and the dangers of wishful thinking: How Tesla’s marketing hype got ahead of its technology. https://www.consumerreports.org/automotive-industry/elon-musk-tesla-self-driving-and-dangers-of-wishful-thinking-a8114459525/. Accessed June 24, 2022.

4. Basl, J., & Behrends, J. (2020). Why everyone has it wrong about the ethics of autonomous vehicles. In National Academy of Engineering. Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2019 Symposium. Washington, DC: The National Academies Press. https://doi.org/10.17226/25620

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