Harvard Business School’s D^3 Institute asked ChatGPT—just one example of many emerging AI “prediction machines”—about the impact that AI would have on various industries and society. Essentially, everyone will likely experience AI-powered changes in the near future.
Overall, AI has the potential to significantly contribute across industries and society. At the same time, we will also address potential consequences and risk mitigation such as bias, automation and job loss, economic disruption, personal data collection, misinformation, privacy and cybersecurity. In order to lead ethical AI initiatives, let us strategize multiple perspectives and actionable steps.
For more information and to attend, REGISTER at https://d3.harvard.edu/events/category/generative-ai/.
D^3 invites any and all individuals interested in learning more to join this free, public Working Group series, offering leading-edge experts and opportunities to engage in ongoing discussions for executives and public community members.
Working Group sessions will offer topics exploring
- AI + Business: how AI can automate repetitive tasks and help make data-driven decisions.
- AI + Environment: how AI can assist with testing climate solutions.
- AI + Education: how AI can be used as a tool for students to learn and as an aid for teachers to answer questions and provide support.
- AI + Healthcare: how AI can help triage patients, providing initial diagnoses and recommendations for further care.
- AI + Customer Service: how AI can automate customer service, providing instant answers to common questions and freeing up human customer service representatives for more complex tasks.
Steering Committee include Harvard Business faculty and visiting executives, such as:
Vedant Agrawal, ais an MBA candidate at Harvard Business School. He combines his experience in investing, operating and advising high growth, tech-enabled, consumer facing businesses—as an early-stage tech-investor at Sequoia, operator with 0-1 experience at Scaler Academy and management consultant at McKinsey.
Fabrizio Dell’Acqua, a postdoctoral research fellow and teaching fellow at Harvard Business School and the Laboratory for Innovation Science at Harvard (LISH) received his Ph.D. in Management from Columbia Business School. His research focuses on the areas of automation, human/AI collaboration, and business ethics.
Shikhar Ghosh, is a Professor of Management Practice in the Entrepreneurial Management Unit of Harvard Business School. He currently leads the course 2032: Five Technologies That Will Reshape the World in the Next Decade for which he received the Apgar Award for innovation in teaching. He has been the founder and CEO or Chairman of eight technology-based companies, and has been named one of the “Best Entrepreneurs in the US” by Businessweek and one of the “Masters of the Internet Universe” by Forbes.
Vladimir Jacimovic, has 30+ years of investing and operating experience with high growth companies in the technology and services industry. He runs an Artificial Intelligence Venture Studio to create next generation software startups.
Karim Lakhani,is singularly focused on helping Harvard’s D^3 Institute achieve its mission to help invent the future. He has taught extensively in Harvard Business School’s MBA, executive, doctoral and online programs and has published over 150 peer-reviewed papers in leading management, economics and executive-oriented articles in Harvard Business Review and MIT Sloan Management Review. His innovation-related research has centered around his role as the founder and co-director of the Laboratory for Innovation Science at Harvard and as the principal investigator of the NASA Tournament Laboratory.
“Hima” Lakkaraju, is an Assistant Professor of Business Administration at Harvard Business School. She is also a faculty affiliate in the Department of Computer Science at Harvard University, the Harvard Data Science Initiative, Center for Research on Computation and Society, and the Laboratory of Innovation Science at Harvard. She teaches the first year course on Technology and Operations Management, and has previously offered multiple courses and guest lectures on a diverse set of topics pertaining to Artificial Intelligence (AI) and Machine Learning (ML), and their real world implications.
Seth Neel, is an Assistant Professor at Harvard Business School. He is Principal Investigator of the Trustworthy AI Lab, a faculty member of the Theory of Computation group in the engineering school, and the AI@Harvard Initiative.
Tsedal Neeley, serves as the Naylor Fitzhugh Professor of Business Administration as well as the Senior Associate Dean for Faculty Development and Research at Harvard Business School.
Fernanda Viégas, is a Gordon McKay Professor of Computer Science at Harvard. She co-leads the Insight and Interaction Lab and is a Sally Starling Seaver Professor at the Harvard Radcliffe Institute. She’s also a Principal Scientist at Google, where she co-founded the PAIR (People + AI Research) initiative and the Big Picture team. Her work in machine learning focuses on improving human/AI interaction with a broader agenda of democratizing AI technology.
Frances Wang, is an MBA candidate at Harvard Business School. Previously, she served as a technical product manager building Alexa ML products on Amazon Search and as a private equity investor at Thoma Bravo focused on enterprise SaaS companies.
Matthew Weinzerel, is the Joseph and Jacqueline Elbling Professor of Business Administration in the Business, Government, and the International Economy Unit at Harvard Business School and a Research Associate at the National Bureau of Economic Research. Recently, he has launched a set of research projects focused on the commercialization of the space sector and its economic implications, viewable at www.economicsofspace.com.