Your filtered results are below:
Ethical AI and Computational Creativity in Human Creative Spaces
Charlotte's work will focus on AI ethics in creative spaces, such as the interdisciplinary discussions about computational creativity as a tool for enhancing AI ethics, generative models, and human-algorithm collaboration.
Technologically Mediated Phronesis and the Necessity for Mindful Design
Andrew is interested in understanding the psychological and sociological effects technology has on moral reasoning and character and hopes to provide a framework to better understand these connections.
Enabling Ethical Human-AI Reasoning in International Law
This project explores how AI can help "augment" human reasoning, using machine learning and natural language processing models.
Moral Judgments Towards Artificial Intelligence Systems
This project incorporates a psychological perspective on AI ethics to inform the moral/ethical design of AI systems in the near future, paying special attention to human moral judgments and intuitions towards artificial agents.
Fair AI
This project explores the responsible usage of AI, in particular, learning to identify and mitigate bias and algorithmic (un)fairness. It looks to prevent the potential reinforcement and amplification of harmful existing human biases with applications to credit access and the financial industry.
A Responsibility Framework for Governing Trustworthy Autonomous Systems
This research develops a comprehensive responsibility framework to enable stakeholders involved in the design, development, and deployment of decision-making algorithms and autonomous systems to effectively govern and take responsibility for the outcomes of those systems in fields such as health, robotics, and finance
How Machine Learning “Measures” and What We Can Learn from It
This project explores what the philosophy of science and in particular, the history and philosophy of measurement, can contribute to our understanding of the social and ethical implications of machine learning.