Angelina McMillan-Major is an AI ethics researcher and a co-author of the seminal paper "Stochastic Parrots: The Dangers of Evaluating Large Language Models," which has significantly influenced discussions on the risks and limitations of large language models. Her work focuses on the social and ethical implications of artificial intelligence, particularly issues of bias, fairness, and the environmental costs of AI development.
McMillan-Major's research has been widely cited in the fields of Artificial intelligence and Machine learning, and she is recognized for her contributions to the critical study of large language models. She has been involved in various initiatives aimed at promoting responsible AI practices and has spoken at numerous conferences and events.
Early Life and Education
Details about McMillan-Major's early life and education are not widely publicized. However, her academic background includes a focus on computational linguistics and ethics, which laid the foundation for her later work in AI ethics. She has been affiliated with academic institutions and research groups that specialize in the societal impacts of technology.
Career and Research
McMillan-Major's career has been marked by a commitment to examining the ethical dimensions of AI. She has worked on projects that analyze the biases embedded in AI systems and has advocated for more inclusive and transparent AI development processes. Her co-authorship of the "Stochastic Parrots" paper, presented at the 2021 ACM Conference on Fairness, Accountability, and Transparency (FAccT), brought her international attention. The paper highlighted the environmental and social costs of training large language models and questioned the efficacy of evaluating them solely on performance metrics.
In addition to her research, McMillan-Major has contributed to policy discussions and has been involved in efforts to develop guidelines for ethical AI. She has also collaborated with other researchers and organizations to address issues such as data governance and algorithmic accountability.
Notable Contributions
The "Stochastic Parrots" paper, co-authored with Emily M. Bender, Timnit Gebru, and Shmargaret Shmitchell, is considered a landmark in AI ethics. It argued that large language models, which are trained on vast amounts of internet text, often reproduce and amplify societal biases. The paper also criticized the tendency to treat these models as general-purpose tools without considering their limitations and the harms they can cause.
McMillan-Major's work has influenced how researchers and practitioners approach the development and deployment of AI systems. She has been a vocal advocate for considering the perspectives of marginalized communities in AI research and for ensuring that AI technologies serve the public good.
Awards and Recognition
While specific awards are not documented, McMillan-Major's contributions have been recognized through invitations to speak at major conferences and her inclusion in various expert panels on AI ethics. Her work has been featured in media outlets and academic publications, cementing her reputation as a leading voice in the field.
Personal Life
Information about McMillan-Major's personal life is not publicly available, as she tends to keep her private life separate from her professional activities.
See Also
References
- Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜. Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency.
- Various public talks and interviews (as of 2023).