One of the role models highlighted in our AI Trenger Deg initiative is Timnit Gebru, a computer scientist whose work has influenced the global discussion on ethics, fairness, and accountability in Artificial Intelligence.
Among her most influential contributions is the paper:
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell (2021).
Published at the ACM Conference on Fairness, Accountability, and Transparency (FAccT), this article raised critical questions about the societal, environmental, and ethical implications of increasingly large language models. Long before generative AI became part of everyday life, the authors urged both researchers and industry to carefully consider issues such as bias, discrimination, transparency, resource consumption, and the concentration of power in the development of AI systems.
The paper has had an extraordinary impact on the research community. According to Google Scholar, it has received more than 18,800 citations, making it one of the most influential publications in the field of AI ethics and responsible AI.
Timnit Gebru’s work reminds us that technological innovation and social responsibility must go hand in hand. As AI continues to shape our societies, her contributions encourage researchers, practitioners, and policymakers to ask not only what AI can do, but also who benefits, who is excluded, and how we can build more equitable technologies for everyone.
📖 Paper: https://doi.org/10.1145/3442188.3445922
I, Letizia, follow Timnit on linkedin and instagram. She is behind many initiatives that are very inspiring for AINCLUSION: black in AI, and the Distributed Artificial Intelligence Research Institute (DAIR).
#AITrengerDeg #AIInclusion #ResponsibleAI #WomenInAI #EthicalAI #DiversityInTech
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