Student Events

Thursday, September 13, 2018 - 12:00pm

Artificial Intelligence for Social Good - Our Approach at the Wadhwani Institute for AI (Social Science Matters - The Future Series)

The last few years have seen the rapid growth of Artificial Intelligence and its pervasive presence in almost every aspect of our lives – e.g., shopping, seeking information, traveling, and social networking. Yet the benefit of AI is largely limited to those in the developed world and the economically advanced in the developing world. The impact of AI on the lives of those in poorer segments has been minimal.

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Friday, October 5, 2018 - 1:00pm

Information and the Global Liberal Order: How the Policy Regime That America Built Was Turned Against It (Social Science Matters, The Future Series)

Up until the very recent past, the US assumed that the liberal international information order that it had helped create served US political interests. The open flow of information limited the ability of authoritarian regimes to oppress their people, and helped spread democracy. An emphasis on self-regulation helped US technology firms to prevail internationally. Global institutions based on 'stakeholderism' rather than multilateralism prevented other states from seizing control of the process. After 2016, the US debate has changed radically.

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Monday, October 15, 2018 - 3:00pm

Interaction Ritual Threads: Conversational Persistence in an Online Discussion at a Large Corporation (Social Science Matters - The Future Series)

Since the publication of Randall Collins's Interaction Ritual Chains, much interaction has moved from face-to-face to online settings.  IRC theory was based on the former, and Collins has expressed a combination of skepticism and ambivalence as to the theory’s applicability to online interaction.  This paper draws on Bakhtin’s theory of speech genres to adapt key concepts from IRC theory to the online world.

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Friday, October 26, 2018 - 12:00pm

AI in the Open World: Discovering Blind Spots of AI (Social Science Matters - The Future Series)

Despite advances in AI, machines still have limitations in accomplishing tasks that come naturally to humans. When AI systems are fielded in the open world, these limitations cause concerns around reliability, biases and trust. In this talk, I will argue that hybrid systems that combine the strengths of machine and human intelligence is key to overcoming the limitations of AI algorithms and developing reliable systems. In the first part of the talk, I will present techniques that can guide human labeling efforts for efficient discovery of blind spots of machine learned classifiers.

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Thursday, November 8, 2018 - 12:00pm

Automating Austerity - Digital Diversion in Unequal America (Social Science Matters - The Future Series)

Virginia Eubanks is an Associate Professor of Political Science at the University at Albany, SUNY. She is the author of Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor; Digital Dead End: Fighting for Social Justice in the Information Age; and co-editor, with Alethia Jones, of Ain’t Gonna Let Nobody Turn Me Around: Forty Years of Movement Building with Barbara Smith. Her writing about technology and social justice has appeared in The American Prospect, The Nation, Harper’s and Wired.

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