AI & Ethics

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AI and Higher Education: Trajectories and Questions

Generative artificial intelligence is diffusing throughout society, adoption decision by adoption decision. Simultaneously, long-standing practices in higher education are being reconsidered and reimagined. While many of the narratives we hear about AI focus on possibilities and potential, to innovate in a principled and ethical way, we must also critically evaluate these systems and the stories about them. By doing so, we can surface what we collectively want the adoption of AI to actually accomplish and the means by which we get there. For academics, now is the time to become involved in asking questions about AI and envisioning the trajectory of higher education we want.

Who Are We?

The AI Ethics workgroup is a collaborative forum dedicated to navigating the complex ethical challenges arising from the rapid advancements in artificial intelligence. Comprised of experts from fields such as tech ethics, data science, and critical technology studies, the group endeavors to establish ethical guidelines and frameworks for the responsible development and deployment of AI technologies.

Our Goals

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Engage in critical discussions  about the technologies categorized as “AI” and their broader social impact

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Shape a collective understanding of responsible AI practices and policies, fostering an environment where innovation aligns with human values and societal well-being

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Contribute to a future where AI is developed and utilized ethically,  ensuring the prioritization of justice and human rights

Membership

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Sarah Florini, Co-Chair

Interim Director & Associate Professor
Lincoln Center for Applied Ethics
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Nicholas Proferes, Co-Chair

Associate Professor
School of Social and Behavioral Sciences
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Marisa Duarte

Associate Professor
School of Social Transformation
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Alexander Halavais

Associate Professor
School of Social and Behavioral Sciences
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Jaime Kirtz

Assistant Professor
School of Arts, Media and Engineering
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Michael Simeone

Associate Research Professor
School of Complex Adaptive Systems
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Shawn Walker

Assistant Professor
School of Social and Behavioral Sciences
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