Harvard faculty Chris Bavitz, David Parkes, and Hima Lakkaraju will lead a panel discussion, moderated by Karim Lakhani, on Generative AI.
The Digital Data & Design Institute at Harvard (D3) and the Harvard Data Science Initiative (HDSI) present a panel discussion on generative AI models and their impact on the knowledge economy. Generative AI models are among the most exciting and novel uses of AI, with the clear potential to transform various domains involving high-stakes decisions such as healthcare, law enforcement, policy, and business. However, they also pose significant challenges and risks for explainability, fairness, robustness, and alignment with human values. How can we leverage generative AI models to enhance human creativity and collaboration? What are the legal and ethical implications of deploying generative AI models in real-world settings? Moreover, what are the underlying breakthroughs that have enabled this generative AI moment? How have advances in natural language processing (NLP), computer vision (CV), deep learning (DL), and reinforcement learning (RL) contributed to the development of powerful generative AI models such as ChatGPT and DALL-E? These are some of the questions that will be addressed by a panel of experts from Harvard University who have been at the forefront of research and practice in generative AI.The panel will be moderated by Karim Lakhani, Professor of Business Administration at Harvard Business School and co-founder and chair of D3.
The panelists are:
- Chris Bavitz: Clinical Professor of Law at Harvard Law School focusing on cyberlaw, intellectual property law, entrepreneurship
- Hima Lakkaraju: Assistant Professor at Harvard University focusing on explainability, fairness, and robustness of machine learning (ML) models
- Karim Lakhani: Dorothy & Michael Hintze Professor of Business Administration at Harvard Business School focusing on technology management, innovation, digital transformation and artificial intelligence (AI)
- David Parkes: George F. Colony Professor of Computer Science at Harvard University focusing on mechanism design, multi-agent systems, computational economics (edited)