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When bad data leads to social injustice, featuring David Robinson
Manage episode 321046468 series 2923153
Can AI really change the world? Or are its developing algorithms formalizing social injustice? When these highly-technical systems derive patterns from existing datasets, their models can perpetuate past mistakes.
In this episode of the Innovation For All Podcast, Sheana Ahlqvist discusses with David Robinson the threats of social bias and discrimination becoming embedded in Artificial Intelligence.
IN THIS EPISODE YOU’LL LEARN:
- What is the role of technological advances in shaping society?
- What is the difference between Machine Learning vs. Artificial Intelligence?
- Social Justice Implications of Technology
- What are the limitations of finding patterns in previous data?
- How does should government regulate new, highly technical systems?
- The need for more resources and more thoughtfulness in regulating data
- Examples of data-driven issues in the private sector.
- Removing skepticism of regulatory agencies in examining data models.
- Authorities should remember that there are limits to what AI models can do.
David is the co-founder of Upturn and currently a Visiting Scientist at the AI Policy and Practice Initiative in Cornell’s College of Computing and Information Science. David touches on how government regulatory agencies should examine new AI models and systems, especially as the technology continues to creep its way into our day-to-day lives. David discusses the importance of “ground truthing.” David emphasizes looking at a technology’s capabilities and limits before deciding on whether decision makers should implement it.
Get shownotes for this an every episode at innovationforallcast.com or find us on Twitter @inforallpodcast.
Original air date: 12/26/18
Send in a voice message: https://anchor.fm/innovation-for-all/message
Support this podcast: https://anchor.fm/innovation-for-all/support
68 एपिसोडस
Manage episode 321046468 series 2923153
Can AI really change the world? Or are its developing algorithms formalizing social injustice? When these highly-technical systems derive patterns from existing datasets, their models can perpetuate past mistakes.
In this episode of the Innovation For All Podcast, Sheana Ahlqvist discusses with David Robinson the threats of social bias and discrimination becoming embedded in Artificial Intelligence.
IN THIS EPISODE YOU’LL LEARN:
- What is the role of technological advances in shaping society?
- What is the difference between Machine Learning vs. Artificial Intelligence?
- Social Justice Implications of Technology
- What are the limitations of finding patterns in previous data?
- How does should government regulate new, highly technical systems?
- The need for more resources and more thoughtfulness in regulating data
- Examples of data-driven issues in the private sector.
- Removing skepticism of regulatory agencies in examining data models.
- Authorities should remember that there are limits to what AI models can do.
David is the co-founder of Upturn and currently a Visiting Scientist at the AI Policy and Practice Initiative in Cornell’s College of Computing and Information Science. David touches on how government regulatory agencies should examine new AI models and systems, especially as the technology continues to creep its way into our day-to-day lives. David discusses the importance of “ground truthing.” David emphasizes looking at a technology’s capabilities and limits before deciding on whether decision makers should implement it.
Get shownotes for this an every episode at innovationforallcast.com or find us on Twitter @inforallpodcast.
Original air date: 12/26/18
Send in a voice message: https://anchor.fm/innovation-for-all/message
Support this podcast: https://anchor.fm/innovation-for-all/support
68 एपिसोडस
सभी एपिसोड
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1 Starting a business at age 66 with Paul Tasner 53:02
1 Battling poverty with Propel and the Fresh EBT app 1:07:22
1 How McDonald's empowered black America (but it's complicated) with Dr. Marcia Chatelain 58:58
1 Placing the Displaced: Running a Refugee Staffing Company 1:04:36
1 Revenge Porn Is Really A Tech Problem with Darieth Chisolm 50:31
1 When bad data leads to social injustice, featuring David Robinson 1:05:25
1 It's illegal for Uber workers to strike. Marshall Steinbaum explains why. (Really though, WHY?) 1:03:30
1 The Ghost Workers Behind the Tech Industry, feat. Mary Gray 58:15
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1 Google and Facebook are monopolies. Does it matter? feat. Sally Hubbard 1:03:21
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1 Disability Advocacy for Self-Driving Cars with Henry Claypool 54:02
1 Gig Work is Different Undocumented Immigrants and Women, with Julia Ticona 1:07:22
1 Revenge Porn Is Really A Tech Problem with Darieth Chisolm 50:31
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