Learning and Obeying Conflicting Norms in Stochastic Domains

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Abstract

It is our great pleasure to welcome you to the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES 2018. As AI is becoming more pervasive in our life, its impact on society is more significant and concerns and issues are raised regarding aspects such as value alignment, data handling and bias, regulations, and workforce displacement. Only a multi-disciplinary and multi-stakeholder effort can find the best ways to address these concerns, including experts of various disciplines, such as ethics, philosophy, economics, sociology, psychology, law, history, and politics. In order to address these issues in a scientific context, AAAI and ACM have joined forces to start a new conference, the AAAI/ACM Conference on AI, Ethics, and Society. The first edition of this conference was co-located with AAAI-18 on February 2-3, 2018 in New Orleans, USA. The program of the conference included peer-reviewed paper presentations, invited talks, panels, and working sessions. The conference program included contributions on a broad set of topics, including the following ones: building ethical AI systems, value alignment, moral machine decision making, impact of AI on workforce, societal impact of AI, the future of AI, human-level AI, controlling AI, trust and explanations in AI systems, ethical design and development of AI systems, AI and law.

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APA

Kasenberg, D. (2018). Learning and Obeying Conflicting Norms in Stochastic Domains. In AIES 2018 - Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society (pp. 370–371). Association for Computing Machinery, Inc. https://doi.org/10.1145/3278721.3278791

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