When Bias Goes Viral: Protecting Your Brand from Biases in Generative AI
https://www.meetup.com/sf-bay-acm/events/308549582/?eventOrigin=group_upcoming_events
Alok Abhishek & Tushar Bandopadhyay
Abstract: Bias in generative AI is no longer an academic concern, it’s a real-world risk to brand trust, product integrity, and social responsibility. This session presents the BEATS framework, a statistically rigorous evaluation methodology, designed to uncover and assess latent biases in LLM outputs and a AI governance framework to proactively identify and mitigate risky AI generated outputs. This is inspired by my recently published research titled “BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models” (arXiv:2503.24310).
Attendees will gain insights into:
Detecting and quantifying bias across demographic and contextual dimensions
Evaluating fairness and ethical alignment in model responses
Embedding bias monitoring and ethical guardrails throughout the AI lifecycle
Implementing governance strategies for risk mitigation, compliance, and responsible AI deployment
This session will deliver practical, research informed strategies to help organizations future-proof their AI systems while preserving fairness, equity, and brand integrity.
Intended Audience: AI practitioners, ML engineers, Product Managers, Data Scientists, compliance officers, product marketing managers, business executives and anyone involved in building or managing GenAI LLM powered applications.
Bio for Alok Abhishek:
Alok Abhishek is a product leader with 15+ years of experience driving innovation at the intersection of AI, data, and enterprise SaaS. He specializes in building and scaling zero-to-one products, establishing product-market fit, and accelerating early-stage growth for data- and AI-driven solutions in global B2B markets. Alok is also a respected independent researcher and contributor to leading publications, including MIT Science Policy Review, IEEE Computer Society Tech News, DATAVERSITY, and TechStrong.ai, where he writes on topics such as AI-first product strategy, building data products, and user-centric innovation.
LinkedIn: https://www.linkedin.com/in/alokabhishek/
Bio for Tushar Bandopadhyay:
Tushar Bandopadhyay is the Founder and CEO of KronML, a trusted AI platform for enterprises. With over 25 years of deep industry experience in driving technological breakthroughs, he has led the incubation, design, and development of planet-scale distributed data storage, security, and AI systems. A recognized technology leader and independent researcher, Tushar holds multiple patents in data infrastructure and applied AI and has a proven track record of turning innovative ideas into transformative enterprise products.
LinkedIn: https://www.linkedin.com/in/tbandopadhyay/
Events in Mountain View, CA
Topics: AI and Society, Neural Networks, Data Mining, Quality Assurance
If you want to join remotely, you can submit questions via Zoom Q&A or YouTube Chat
The zoom link: https://acm-org.zoom.us/j/93834404517?pwd=ursmRHBjAmucdvFFCdVQ2ANUWlEWTu.1
AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 - 8:30 finish, depending on Q&A
https://www.meetup.com/sf-bay-acm/events/308549582/?eventOrigin=group_upcoming_events
Alok Abhishek & Tushar Bandopadhyay
Abstract: Bias in generative AI is no longer an academic concern, it’s a real-world risk to brand trust, product integrity, and social responsibility. This session presents the BEATS framework, a statistically rigorous evaluation methodology, designed to uncover and assess latent biases in LLM outputs and a AI governance framework to proactively identify and mitigate risky AI generated outputs. This is inspired by my recently published research titled “BEATS: Bias Evaluation and Assessment Test Suite for Large Language Models” (arXiv:2503.24310).
Attendees will gain insights into:
Detecting and quantifying bias across demographic and contextual dimensions
Evaluating fairness and ethical alignment in model responses
Embedding bias monitoring and ethical guardrails throughout the AI lifecycle
Implementing governance strategies for risk mitigation, compliance, and responsible AI deployment
This session will deliver practical, research informed strategies to help organizations future-proof their AI systems while preserving fairness, equity, and brand integrity.
Intended Audience: AI practitioners, ML engineers, Product Managers, Data Scientists, compliance officers, product marketing managers, business executives and anyone involved in building or managing GenAI LLM powered applications.
Bio for Alok Abhishek:
Alok Abhishek is a product leader with 15+ years of experience driving innovation at the intersection of AI, data, and enterprise SaaS. He specializes in building and scaling zero-to-one products, establishing product-market fit, and accelerating early-stage growth for data- and AI-driven solutions in global B2B markets. Alok is also a respected independent researcher and contributor to leading publications, including MIT Science Policy Review, IEEE Computer Society Tech News, DATAVERSITY, and TechStrong.ai, where he writes on topics such as AI-first product strategy, building data products, and user-centric innovation.
LinkedIn: https://www.linkedin.com/in/alokabhishek/
Bio for Tushar Bandopadhyay:
Tushar Bandopadhyay is the Founder and CEO of KronML, a trusted AI platform for enterprises. With over 25 years of deep industry experience in driving technological breakthroughs, he has led the incubation, design, and development of planet-scale distributed data storage, security, and AI systems. A recognized technology leader and independent researcher, Tushar holds multiple patents in data infrastructure and applied AI and has a proven track record of turning innovative ideas into transformative enterprise products.
LinkedIn: https://www.linkedin.com/in/tbandopadhyay/
Events in Mountain View, CA
Topics: AI and Society, Neural Networks, Data Mining, Quality Assurance
If you want to join remotely, you can submit questions via Zoom Q&A or YouTube Chat
The zoom link: https://acm-org.zoom.us/j/93834404517?pwd=ursmRHBjAmucdvFFCdVQ2ANUWlEWTu.1
AGENDA
6:30 Door opens, food and networking (we invite honor system contributions)
7:00 SFBayACM upcoming events, introduce the speaker
7:15 speaker presentation starts
8:15 – 8:30 finish, depending on Q&A
