The Ethical Imperative in Developing Responsible AI: Insights from a Leading AI Researcher
Developing AI systems that respect human dignity and promote societal wellbeing is a critical imperative for the AI community and the public at large.
Navigating the Frontier of Generative AI: Anticipating and Addressing the Societal Impacts
Generative AI Systems, particularly Generative Agents, will have significant and wide-ranging societal impacts over the next 5-10 years, requiring careful consideration of their ethical and practical implications.
Automatic Authorities: How AI Systems Exercise Power Over Individuals and Societies
Automated computational systems, known as "Automatic Authorities", are being used to exercise significant power over individuals and societies by shaping what people know, what they can have, and what their options will be. This raises important normative concerns around individual freedom, social equality, and collective self-determination.
Performance of Profit-Driven Large Language Models in Moral Reasoning: A Case Study of GreedLlama
Profit-driven alignment of large language models, exemplified by GreedLlama, can lead to a marked preference for financial outcomes over ethical considerations, making morally appropriate decisions at significantly lower rates compared to a baseline model.
Navigating Ethical Trade-offs in Responsible AI Development
Developing a framework to proactively identify, prioritize, and justify trade-offs between competing AI ethics aspects during the design and implementation of responsible AI systems.
Ethical Considerations and Solutions for Advancing Integrity in Neural Machine Translation
Addressing the ethical challenges of Artificial Intelligence in Neural Machine Translation (NMT) systems, emphasizing the imperative for developers to ensure fairness, cultural sensitivity, and responsible development practices.