Algorithms are biased because we are. Are we willing to change?
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The document discusses Gregory Menvielle's work and highlights issues of bias in technology and data, citing that 57% of people in tech are affected, leading to a $300 billion problem globally. It mentions the World Health Organization's classification of bias as a disease, and discusses the implications of AI in college admissions. Additionally, it emphasizes the importance of roles such as data archaeologists and data scientists in addressing these challenges.
Algorithms are biased because we are. Are we willing to change?
- 2. Hi :) Gregory Menvielle (@greg_menvielle) ? ºÝºÝߣs: ? https://www.okaya.me/okaya/2019/06/ devfest2019/ ? Co-founder of okaya.me and smartnotify.us ? Intel Software Innovator
- 3. BIAS ? A 4-letter word ? Inclination or prejudice for or against one person or group, especially in a way considered to be unfair.
- 4. A systematic distortion of a statistical result due to a factor not allowed for in its derivation.
- 6. www.okaya.me ? 57% of people in tech su?er ? $300B problem worldwide ? W.H.O classi?ed disease
- 7. Algo + Data
- 8. Amazon scraps secret AI recruiting tool that showed bias against women. (reuters 2018)
- 10. AI has the potential to change how colleges and universities recruit domestic and international students by creating algorithms that can predict the applicants most likely to be accepted and enrol, from which states and countries, and the enrolled students most likely to progress and graduate and become engaged alumni.
- 13. 1.Be a data archaeologist
- 17. 2.Be a data scientist
- 21. Questions