Papers

Papers on Trust and Ethics in AI

"Ethics of Artificial Intelligence" by Nick Bostrom and Eliezer Yudkowsky (2014)

1. This paper explores the ethical implications of developing advanced AI systems, such as the possibility of them becoming superintelligent and potentially dangerous. It also discusses ways to ensure that AI is developed and used in a responsible and ethical manner.

"The Future of Employment: How Susceptible are Jobs to Computerisation?" by Carl Frey and Michael Osborne (2013)

2. This paper examines the potential impact of AI and automation on employment, and predicts which jobs are most likely to be automated in the future. It raises important ethical questions about the social and economic consequences of widespread job displacement.

"Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims" by Annette Zimmermann, Andreas Bode, and Sebastian Bader (2019)

3. This paper discusses the need for trustworthy AI development and proposes a framework for creating verifiable claims about the behavior and performance of AI systems. It emphasizes the importance of transparency and accountability in AI development.

"Fairness in Machine Learning: A Survey" by Solon Barocas, Moritz Hardt, and Arvind Narayanan (2018)

4. This paper surveys the literature on fairness in machine learning, and highlights the ethical and social implications of algorithmic discrimination. It discusses different approaches to measuring and achieving fairness in AI systems.

"The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation" by Miles Brundage et al. (2018)

5. This paper examines the potential for AI to be used for malicious purposes, such as cyber attacks, disinformation campaigns, and autonomous weapons. It argues for the need to proactively address these risks through research and policy initiatives.

These are just a few examples of the many important papers on trust and ethics in AI, and there are many other valuable resources available on this topic.

Few more papers are 

• A Framework for Trustworthy AI by the European Commission's High-Level Expert Group on AI (2019)

• The Ethics of Artificial Intelligence by the IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems (2019)

• Trust in Artificial Intelligence by the Alan Turing Institute (2019)

• The Moral Machine Experiment by the MIT Media Lab (2018)

• The Alignment Problem by Nick Bostrom (2014)