Audrey Lorvo's work at MIT is focused on aligning AI with human values, a crucial step in ensuring that AI systems behave in ways that are consistent with human ethics and principles. This involves designing AI systems that can understand and adapt to human values, which are often complex and context-dependent.
As Benjamin Larsen and Virginia Dignum note, AI value alignment is about ensuring that AI systems act in accordance with shared human values and ethical principles. This requires a deep understanding of human values and how they vary across cultures and contexts.
One approach to AI value alignment is through inverse reinforcement learning (IRL), which involves training AI systems to infer human values and preferences from observations of human behavior. This approach has shown promise in areas like robotics and natural language processing.
However, AI value alignment is not just a technical challenge, but also a societal responsibility. It requires ongoing stakeholder engagement, including governments, businesses, and civil society, to ensure that AI systems are developed and deployed in ways that align with human values.
