SXSW 2020
AI & Cities: The Good, The Bad & The Ugly
Description:
Cities are using artificial intelligence in many ways and for many purposes. The trend will continue to accelerate with cities using AI for everything from policing, to affordable housing, to transportation. How many community members, city staffers, policymakers, and technologists truly are aware of the increasing use of AI in cities? Who really contemplates and understands the current and future ramifications of using AI in cities? This panel explores the positive and negative implications, now and in the future, of using AI in cities. For instance, AI can ease traffic congestion, but it also can create vulnerabilities in cities from cyberattacks with ransom demands. We will explore AI use cases in cities and the ethical, policy and regulatory implications of using AI in cities.
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Takeaways
- We will answer how cities currently are using AI, and how cities could be using AI in the future in various ways from policing to transportation .
- We will describe the current and future positive implications from cities using AI for the health, welfare and quality of life of residents.
- We will explain the current and future negative consequences from cities using AI such as inequities, ethical issues, and cybersecurity threats.
Speakers
- Sherri Greenberg, Professor of Practice, Fellow Max Sherman Chair, Graduate Advisor, The University of Texas at Austin, LBJ School of Public Affairs
- Ted Lehr, Data Architect, City of Austin
- Ron Baker, Distinguished Engineer, Watson IOT, Smarter Cities Strategist, IBM
- Lily Hu, PhD Candidate, Fellow at the Berkman Klein Center for Internet and Society, Harvard University
Organizer
Sherri Greenberg, Professor of Practice, The University of Texas at Austin
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