Ekta
soni
Head of Change and Transformation at Walker Crips Group
"AI is Not Biased: Leaders Are: Rethinking Responsibility in AI"
"AI is Not Biased: Leaders Are: Rethinking Responsibility in AI"
Tue May 12 - 4:30 AM EDT/New York (See in local time)
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05/12/2026 4:30 AM
05/12/2026 04:50 AM
America/New_York
#WTGC2026
"AI is Not Biased: Leaders Are: Rethinking Responsibility in AI"
#WTGC2026
"AI is Not Biased: Leaders Are: Rethinking Responsibility in AI"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"AI is Not Biased: Leaders Are: Rethinking Responsibility in AI"
"AI is Not Biased: Leaders Are: Rethinking Responsibility in AI"
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Session: AI is Not Biased: Leaders Are: Rethinking Responsibility in AI
The conversation around bias in AI usually focuses on data and algorithms. But what if the real source of bias is leadership?This talk challenges the dominant narrative by showing how decisions made by leaders what problems to solve, which data to prioritise, and whose voices are included shape AI systems long before a model is trained.
By shifting the focus from technical bias to leadership accountability, this session highlights why increasing the number of women in AI leadership is critical not just for representation, but for building better, more ethical systems.
Attendees will gain a new perspective on AI bias and leave with practical ways to influence decision-making, even without a technical background.
Key Takeaways
- 1)Understand how everyday decisions shape AI outcomes 2)Learn how to influence AI systems without coding expertise 3) Identify practical ways to step into AI leadership roles 4)Recognize why diverse leadership is critical for responsible AI
Bio
Ekta Soni is a technology professional and emerging voice at the intersection of artificial intelligence, leadership, and inclusion. Based in London, she is passionate about exploring how AI is transforming decision-making and why diverse leadership is essential for building ethical and impactful systems.She focuses on empowering individuals, especially women, to move beyond being users of technology and become influential contributors and leaders in AI-driven environments.
