Diversity in AI

DevFest Bangkok 2023

Transcript

1. Diversity in AI Bangkok Kamolphan Liwprasert (Fon) WTM Ambassador, GDE Cloud
2. Mission: Google's Women Techmakers program provides visibility, community, and resources for women in technology. We're building a world where all women can thrive in tech. Mils Fon
3. Join the Women Techmakers Members community today! + Access exclusive members-only content + Sneak peaks at upcoming events + Connect with other women like yourself bit.ly/wtmmembership 󰑆facebook.com/wtmbk k
4. Diversity? in AI? Bangkok
5. 😈 Bias Bangkok
6. 😈 Bias: • Age • Gender • Race Unconscious bias Gender bias Age bias
7. Biases are from DATA Sample result from Search Engine Example
8. Example Prompt: CEO in Silicon Valley Model: Dall-e
9. Bias model resulting in unfair product https://www.newyorker.com/tech/annals-of-technology/is-your-thermostat-sexist
10. Case Study: Tay Chatbot (2016) https://theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist Tay Chatbot turned offensive after learned from Twitter interactions within 24 hours in 2016.
11. More on bias model resulting in unfair product
12. How AI Image Generators Make Bias Worse Generative AI amplifies the bias from data we have. https://www.youtube.com/watch?v=L2sQRrf1Cd8
13. How to make AI fair? Bangkok
14. How to keep human bias out of AI - Kriti Sharma 👀 Aware of bias(es) 👫 Diversity team 👷 Diverse Experiences https://www.youtube.com/watch?v=BRRNeBKwvNM
15. How about Tools?
16. What-If Tool https://pair-code.github.io/what-if-tool/
17. Learning Interpretability Tool https://pair-code.github.io/lit/
18. Language Interpretability Tool (NLP) pair-code.github.io/lit/
19. Know Your Data knowyourdata.withgoogle.com/
20. Responsible AI Bangkok
21. Developing responsible AI requires an understanding of the possible issues, limitations, or unintended consequences
22. AI Should be ✅ Transparency ✅ Fairness ✅ Accountability ✅ Privacy 😇 Built for everyone 😇 Accountable and safe 😇 Respects privacy 😇 Driven by scientific excellence 😇 Responsible by Design
23. https://ai.google/responsibility/principles/
24. Google’s AI Guidelines 1. Be socially beneficial. 2. Avoid creating or reinforcing unfair bias. sensitive characteristics, such as race, ethnicity, gender, nationality, income, sexual orientation, ability, and political or religious belief. 3. Be built and tested for safety. 4. Be accountable to people. 5. Incorporate privacy design principles. 6. Uphold high standards of scientific excellence. 7. Be made available for uses that accord with these principles. https://ai.google/responsibility/principles/
25. TRUST “Trust is a fragile thing—hard to earn, easy to lose.” - M.J. Arlidge
26. 🔑 Key takeaway: Diversity is advantage
27. Learn more Introduction to Responsible AI cloudskillsboost.google/course _sessions/5755532/video/386919
28. DevFest Cloud Bangkok 2023 17 December 2023 @ SCBX Next Tech Cloud • Bangkok Register: gdg.community.dev/gdg-cloud-bangkok
29. Thank you! Bangkok Kamolphan Liwprasert (Fon) WTM Ambassador, GDE Cloud