Faculty
Renée Richardson Gosline is a Research Scientist and Senior Lecturer at the MIT Sloan School of Management, and head of the Human-First AI group at MIT's Initiative on The Digital Economy. She is an expert on the intersection between behavioral science and technology, and the implications of AI for cognitive bias in human decision-making.
Renée has been named a Digital Fellow at Stanford’s Digital Economy Lab, an honoree on the Thinkers50 Radar List of thinkers who are “putting a dent in the universe,” and one of the World’s Top 40 Professors under 40 by Poets and Quants. Renée is a 2024 NSBE (National Society of Black Engineers) Inspire STEM honoree.
Renée is a leading thinker on how AI affects human judgment and the interplay of human and AI bias. She has presented her research to the White House Office of Science and Technology Policy, as a featured speaker at SXSW, and to the OECD. Her work has been published in academic journals and books and been featured in international media outlets.
Her forthcoming book, In Praise of Friction, examines how AI affects our experiences, and the importance of auditing our decision-making processes to minimize “bad friction” and leverage “beneficial friction.” In her research experiments she has examined: the persuasiveness of generative AI and human co-authorship; the impact of adding friction to generative AI to improve quality; when people are likely to exhibit algorithmic aversion or appreciation; how cognitive style predicts preference for AI versus human input; how technology affects performance via placebo effects; how consumers determine “real” from “fake” products; and the effects of storytelling in social media on trust and persuasion.
Renée teaches MBA and Executive Education classes, and specializes in AI CX strategy, creating a culture of experimentation, and Responsible AI. Prior to academia, she was a marketing practitioner at LVMH Moet Hennessy and Leo Burnett.
She received her Undergraduate, Master’s, and Doctoral degrees at Harvard University.
Zhang, Yunhao, and Gosline, Renée, MIT Sloan Working Paper 6908-23. Cambridge, MA: MIT Sloan School of Management, May 2023.
Zhang Yunhao, Renée Richardson Gosline, MIT Sloan Working Paper 6846-22. Cambridge, MA: MIT Sloan School of Management, December 2022.
Gosline, Renée Richardson. Harvard Business Review, June 9, 2022.
Gosline, Renée Richardson. SXSW, May 2022.
Norris I. Bruce, Keisha M. Cutright, Renée Richardson Gosline, Jacquelyn S. Thomas, and Tiffany Barnett White. Harvard Business Review, November 25, 2020.
Banker, Sachin, Renée Richardson Gosline, and Jeffrey K. Lee. Journal of Consumer Psychology Vol. 30, No. 1 (2020): 140-148. SSRN.
Research about quantum computing, companies run by “geeks,” and how artificial intelligence will affect workers.
Leaders must rethink the way they manage people and projects to ensure that everyone reaps the efficiency and innovation benefits of generative AI.
"OpenAI's ChatGPT has generated excitement since its release in November 2022, but it has also created new challenges for managers."
"What people buy has started to replace a sense of social connection and identity that is missing for many people."
Anyone who discovers that you've been using AI to write emails might never trust your work again. Being upfront can lessen their unease.
What is top of mind for the digital economy thought leaders? That was the question posed for Thinker-Fest 2023.
Digital transformation has revolutionized the way that humans behave and make decisions. This has greatly impacted competitive strategy – loyalty can be created and destroyed by customer experience. What do these shifts mean for customer experience (CX) strategy? This new customer experience course uniquely applies a behavioral science foundation to help you develop breakthrough digital customer experience CX for your brand that resonates in this highly digitized world.
Learn how to lead AI initiatives strategically and effectively with MIT Sloan Executive Education's 5-day in-person course. Gain a comprehensive understanding of AI technologies and their impact on the future of work.
