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Episode 48: AI Ethics, Open Data, and Recommendations Fairness with Jessie Smith
Show Notes
- (2:08) Jess discussed her foray into studying Software Engineering at California Polytechnic State University during college and revealed her favorite course on Computer Science Ethics taken there.
- (4:31) Jess unpacked her argument that it is important to shift the engineering mindset away from only asking how to ask why - referring to his blog post “Changing The Engineer’s Mindset.”
- (7:27) Jess went over her summer internship experience at GoDaddy as a software engineer.
- (11:39) Jess talked about her time working as a research assistant for the Ethics and Emerging Sciences Group at Cal Poly, where she examined the ethical implications of AI “predictive policing” systems and survey the current role of fairness metrics for battling algorithmic bias.
- (16:27) Jess revealed her experience being involved with the open data movement in Colombia (read her articles “The Truth About Open Data” and “How To Use Data Science For Social Impact”).
- (24:22) Jess emphasized the importance of education to spread data literacy in developing nations.
- (26:35) Jess discussed her experience as a current Ph.D. student in the Department of Information Science at the University of Colorado, Boulder, where you focus on value tradeoffs in technology and machine learning ethics.
- (32:01) Jess unpacked the ETHItechniCAL framework to assist with ethical decision-making that she proposes in “The Trolley Problem Isn’t Theoretical Anymore.”
- (35:39) Jess unpacked her argument, saying that computer scientists must be educated to code with social responsibility and equipped with the correct tools to do so - as indicated in “How Tech Shapes Society.”
- (39:00) Jess discussed the work “Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems” with Masoud Mansoury and Himan Abdollahpouri.
- (42:54) Jess discussed the work “Exploring User Opinions of Fairness in Recommender Systems” with Nasim Sonboli.
- (47:12) Via her podcast The Radical AI, Jess unpacked the underrated AI and social issues that she came across.
- (49:17) Via her YouTube show Sci-Fi in Real Life, Jess shared her 3 favorite videos: "Dying To Be Alive," "Living On The Edge," and "Black Mirror Meta Episode."
- (52:25) Jess dug deep into her mission of cultivating positive social impacts for the world.
- (54:32) Closing segment.
Her Contact Info
- Website
- Medium
- GitHub
- Radical AI Podcast
- Sci-Fi In Real Life YouTube Show
Her Recommended Resources
- UC Boulder's Internet Rules Lab
- UC Boulder's That Recommender Systems Lab
- Safiya Noble
- Cathy O'Neil
- Ruha Benjamin
- "The Courage To Be Disliked" by Ichiro Kishimi and Fumitake Koga
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe
View all episodes
By James LeShow Notes
- (2:08) Jess discussed her foray into studying Software Engineering at California Polytechnic State University during college and revealed her favorite course on Computer Science Ethics taken there.
- (4:31) Jess unpacked her argument that it is important to shift the engineering mindset away from only asking how to ask why - referring to his blog post “Changing The Engineer’s Mindset.”
- (7:27) Jess went over her summer internship experience at GoDaddy as a software engineer.
- (11:39) Jess talked about her time working as a research assistant for the Ethics and Emerging Sciences Group at Cal Poly, where she examined the ethical implications of AI “predictive policing” systems and survey the current role of fairness metrics for battling algorithmic bias.
- (16:27) Jess revealed her experience being involved with the open data movement in Colombia (read her articles “The Truth About Open Data” and “How To Use Data Science For Social Impact”).
- (24:22) Jess emphasized the importance of education to spread data literacy in developing nations.
- (26:35) Jess discussed her experience as a current Ph.D. student in the Department of Information Science at the University of Colorado, Boulder, where you focus on value tradeoffs in technology and machine learning ethics.
- (32:01) Jess unpacked the ETHItechniCAL framework to assist with ethical decision-making that she proposes in “The Trolley Problem Isn’t Theoretical Anymore.”
- (35:39) Jess unpacked her argument, saying that computer scientists must be educated to code with social responsibility and equipped with the correct tools to do so - as indicated in “How Tech Shapes Society.”
- (39:00) Jess discussed the work “Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems” with Masoud Mansoury and Himan Abdollahpouri.
- (42:54) Jess discussed the work “Exploring User Opinions of Fairness in Recommender Systems” with Nasim Sonboli.
- (47:12) Via her podcast The Radical AI, Jess unpacked the underrated AI and social issues that she came across.
- (49:17) Via her YouTube show Sci-Fi in Real Life, Jess shared her 3 favorite videos: "Dying To Be Alive," "Living On The Edge," and "Black Mirror Meta Episode."
- (52:25) Jess dug deep into her mission of cultivating positive social impacts for the world.
- (54:32) Closing segment.
Her Contact Info
- Website
- Medium
- GitHub
- Radical AI Podcast
- Sci-Fi In Real Life YouTube Show
Her Recommended Resources
- UC Boulder's Internet Rules Lab
- UC Boulder's That Recommender Systems Lab
- Safiya Noble
- Cathy O'Neil
- Ruha Benjamin
- "The Courage To Be Disliked" by Ichiro Kishimi and Fumitake Koga
This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit datacast.substack.com/subscribe