Operationalizing Responsible, Human-Centered AI: readings and other resources

Resources relevant to the presentation

• Barmer, Hollen, et al. “Human-Centered AI,” Carnegie Mellon University, Software Engineering Institute, Jun 2021.
• Morville, Peter, et al. “User Experience Design,” Semantic Studios, 21 Jun 2004.
• Buolamwini, Joy and Timnit Gebru. “Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification,” Proceedings of Machine Learning Research, Proceedings of the 1st Conference on Fairness, Accountability and Transparency, PMLR 81:77-91, 2018.
• “Gender Shades Project,” MIT Media Lab, Aug 2020.
• Coded Bias. Directed by Shalini Kantayya, 7th Empire Media, Netflix, 2020. 

• Smith, Carol. “Designing Trustworthy AI for Human-Machine Teaming,” Carnegie Mellon University, Software Engineering Institute,  8 Mar 2020. {PDF}
• Brown, Dan. “UX in the Age of Abusability,” Green Onions, 18 Sep 2018.
• Dance, Lisa D. “3Q-Do No Harm Framework,” ServiceEase, 2019.
• Martelaro, Nikolas and Wendy Ju. “What Could Go Wrong? Exploring the Downsides of Autonomous Vehicles,” Association for  Computing Machinery, Sep 2020.  
• Degler, Duane and Carol Smith. “How IAs Can Shape the Future of Human-AI Collaboration,” Design for Context, Information Architecture Conference, Apr 2021.
• Muller, Amanda and Carol Smith. “Perceptions of Function Allocation between Humans and AI-Enabled Systems,” UXPA 2022,  2022.
• Dekker, SWA and DD Woods. “MABA-MABA or Abracadabra? Progress on Human–Automation Co-ordination,” Cognition, Technology & Work,  4, 240-244, 2002.
• Levenson, Nancy. “The Therac-25: 30 Years Later,” Computer,  50, Nov 2017.
• Levenson, Nancy. Safeware: System Safety and Computers, Addison Wesley, 1995.
• “Montréal Declaration for a responsible development of artificial intelligence,” Université de Montréal, 2018.
• Rock, David and Heidi Grant. “Why diverse teams are smarter,” Harvard Business Review, 4 Nov 2016.
• Gebru, Timnit, et al. “Datasheets for Datasets,” Cornell University, Dec 2021.
• M. Mitchell et al., “Model Cards for Model Reporting,” Association for Computing Machinery, 29 Jan 2019.
• Booch, Gary. “Don’t Fear Superintelligent AI,” YouTube, Ted,  2016.

 

Additional Resources (mentioned by the conference audience)

•  Constestable AI
• “Responsible AI principles from Microsoft,” Microsoft