Alex Hanna is a sociologist and the Director of Research at the Distributed AI Research Institute (DAIR). Her work centers on the social implications of artificial intelligence, AI ethics, labor in the tech industry, and critical data studies. Dr. Hanna is known for her research on how data is created and used in machine learning, with a particular focus on the human labor involved in data annotation and the biases that can be embedded in datasets and algorithmic systems. Before joining DAIR, she was a Senior Research Scientist on Google's Ethical AI team. Her research often highlights the perspectives of marginalized communities and advocates for more equitable and just technological systems. She holds a PhD in Sociology from the University of Wisconsin-Madison.
Alex Hanna's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads and shapes the research agenda at DAIR, an interdisciplinary and globally distributed organization focused on community-rooted, critical AI research that challenges the concentration of power in the AI industry.
Authored and co-authored numerous impactful papers and articles on topics such as algorithmic fairness, the ethics of large language models, data colonialism, and the working conditions of data annotators, significantly contributing to academic and public discourse.
Conducted critical research on the ethical and societal implications of Google's AI technologies, focusing on fairness, accountability, and transparency, before her departure and the subsequent controversies surrounding the team.
A prominent voice advocating for the rights and inclusion of marginalized communities in the development and deployment of AI, challenging systemic biases within the tech industry.
Helped establish and organize 'Queer in AI', an affinity group and workshop series that aims to increase the visibility and support for queer individuals in the field of artificial intelligence.
Niagara College - Year 2010
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