Quote from sachinm on 19 November 2023, 5:49 pmSuggested Themes
- Developing an AI Bill of Rights to cope with challenges, and unintended risks
- Developing a risk framework model to deal with volume of social media risks
- Improving technology service resiliency
- Making Autonomic Computing Systems Accountable
Suggested Case Studies
1.NIST Study Evaluates Effects of Race, Age, Sex on Face Recognition Software
2.Racial Bias in COMPAS Risk Assessment Algorithm
3.Gender Bias in Amazon's AI Recruiting Tool
4.Racial Bias in Amazon’s Facial Recognition Systems Rekognition
5.Bias in Google Photos Image Classification
Suggested Reading List
- Debata, Pradeep, “Managing New Technology : The combination of Model Risk and Enterprise Risk Management”, University of Cambridge, January 18, 2022.
- Auerswald, Philip, and Debra van Opstal. 2009. “Coping with Turbulence: The Resilience Imperative.” Innovations: Technology, Governance, Globalization, special edition for the World Economic Forum Annual Meeting 2009. Cambrige, MA: MIT.
- Bettencourt, Luis, J. Lobo, D. Helbing, C. Kuhnert, and G. B. West. 2007. “Growth, Innovation, Scaling, and the Pace of Life in Cities.” Proceedings of the National Academy of Sciences 104 (17): 7301–7306.
- Sarah Sheard, ; Mostashari, Ali, "Complexity Types: from Science to Systems Engineering”, Proceedings of the 21st Annual International Symposium of the International Council of Systems Engineering
- Susan P. Williams, Clara S. Nitschke, Catherine A. Hardy, “Analytical framework for social media risk analysis in organizations”, Procedia Computer Science, Volume 181, 2021.
- Jagannadha Pawan Tamvada, Sanjiv Narula, David Audretsch, Harish Puppala, Anil Kumar, “Adopting new technology is a distant dream? The risks of implementing Industry 4.0 in emerging economy SMEs”, Technological Forecasting and Social Change, Vol 185, 2022.
Suggested Themes
Suggested Case Studies
1.NIST Study Evaluates Effects of Race, Age, Sex on Face Recognition Software
2.Racial Bias in COMPAS Risk Assessment Algorithm
3.Gender Bias in Amazon's AI Recruiting Tool
4.Racial Bias in Amazon’s Facial Recognition Systems Rekognition
5.Bias in Google Photos Image Classification
Suggested Reading List
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