Mitigating Bias and Fairness in AI

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June 28, 2019

Mitigating Bias and Fairness in AI

Introduction to the concept of Bias in AI, why it matters and how to mitigate the effects of bias in data and algorithms for AI.

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June 28, 2019
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  1. None
  2. Big Data & AI Conference Dallas, Texas June 27 –

    29, 2019 www.BigDataAIconference.com
  3. Fairness & Mitigating Bias in AI Babar Bhatti Jun 28,

    2019
  4. Trends & Implications Ethics & Values Fairness Inequality Technology Jobs

    & Work Education Geo-Politics Economy Society Transparent, Reliable, Safe Deep Learning, Narrow vs AGI IoT, Blockchain, Cloud
  5. None
  6. Today’s Talk: Fairness, Bias, Trust ... • Power and Perils

    of AI - pervasive, invasive, limited • State of Fairness in AI today - Business impact of Biased Models • Black box vs Explainable AI • Ethics, Privacy --> Trust • Key Reasons why Bias occurs • Approaches to Mitigate Bias • Action Plan
  7. The Trouble with Bias -- Kate Crawford, AINow

  8. None
  9. Explainability Problem of AI

  10. Approaches to Explainability Problem

  11. Explainability vs Performance

  12. None
  13. Deepfake Challenge

  14. TOP REASONS FOR BIAS IN AI AND ML Data Bias

    Algorithmic Bias Human Bias (inequity captured in data)
  15. Biased Medical Datasets Medical data in the US is extremely

    male and extremely white, and that has real- world impacts -- Quartz.com
  16. ML Bias Research

  17. Need Diverse, Multidisciplinary Experts Source: Algorithmic Justice League https://www.ajlunited.org/

  18. Self-Regulation vs State Regulation

  19. Bigger than tech - multiple levels, stakeholders and perspectives: national,

    organization and society / individual level Code of ethics, monitoring, governance and self-regulation - share best practices AI experts need to work with stakeholders from diverse perspectives: social sciences, policy makers, public-private partnership Ethical and fair AI methods require more research and focus - recent funding by Steve Schwarman’s to Oxford for research on AI ethics Additional Sources: • Medium Blog: medium.com/@thebabar (checklist & references) • My linkedin: Recommendations + Resources
  20. Explainability Problem of AI