Jagbir
Kaur
Global Strategy and operations manager at Google
"Ethical Considerations in Ai and Ml: Bias Detection and Mitigation Strategies"
"Ethical Considerations in Ai and Ml: Bias Detection and Mitigation Strategies"
Tue May 20 - 10:50 AM EDT/New York (See in local time)
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05/20/2025 10:50 AM
05/20/2025 11:10 AM
America/New_York
#WTGC2025
"Ethical Considerations in Ai and Ml: Bias Detection and Mitigation Strategies"
#WTGC2025
"Ethical Considerations in Ai and Ml: Bias Detection and Mitigation Strategies"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Ethical Considerations in Ai and Ml: Bias Detection and Mitigation Strategies"
"Ethical Considerations in Ai and Ml: Bias Detection and Mitigation Strategies"
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Session: Ethical Considerations in Ai and Ml: Bias Detection and Mitigation Strategies
20-minute session at the Women in Tech event will delve into the crucial topic of "Ethical Considerations in AI and ML: Bias Detection and Mitigation Strategies." We will explore the inherent biases present in AI algorithms, which can perpetuate societal inequalities and exacerbate existing biases. Drawing from recent research, including the paper "A Review on Bias Detection and Mitigation Techniques in Machine Learning" by Priya Baskaran and Dr. S. Yasodha, we will examine various forms of bias and their impacts on marginalized communities.Furthermore, I plan discuss robust strategies and playbook for detecting and mitigating bias in AI and ML systems. From algorithmic auditing to diverse and inclusive dataset collection, we will explore proactive measures to address bias at every stage of the AI lifecycle. Additionally, we will highlight the importance of diversity and representation in AI development teams to foster more inclusive and equitable technologies.
This session aims to empower attendees, particularly women in tech, to become advocates for ethical AI practices and champions for diversity and inclusion in technology. By understanding the ethical considerations in AI and ML and learning effective bias detection and mitigation strategies, we can collectively work towards building more fair, transparent, and responsible AI systems that benefit all members of society.
Key Takeaways
- Understanding the Impact of Bias in AI and ML
- Proactive Strategies for Bias Detection and Mitigation
- Importance of Diversity and Inclusion in AI Development
- Empowerment to Advocate for Ethical AI Practices
- Opportunities for Collaboration and Continued Learning
Bio
Jagbir is an entrepreneurial problem solver with ~10 years of experience in driving business success through strategic thinking, analytics, and cross-functional collaboration. Currently serving as a Global Product Strategy & Operations Program Manager at Google, Jagbir has led high-impact initiatives, including large-scale business planning, GTM strategy, and data-driven transformations. With a Master's in Business Analytics and Project Management, Jagbir brings a unique blend of analytical expertise and strategic acumen to empower organizations in achieving their goals.