RUMMAN CHOWDHURY
Rumman Chowdhury
- Former Global Lead for Responsible AI at Accenture; built one of the first enterprise-scale AI ethics practices
- Led Twitter’s META team; launched the first industry algorithmic bias bounty and public red‑teaming of recommender systems
- Founder/CEO of Humane Intelligence; designs community-driven evaluations and safety testing for AI models
- Advisor to governments, standards bodies, and multilaterals on AI policy, safety, and transparency
- PhD in Political Science (quant methods) and MS in Statistics; recognized among the most influential voices in AI ethics and governance
For Rumman’s full Bio see below: –
ARTICLES: –
TOPICS:
- Building Responsible AI at Scale: Governance, guardrails, and getting to green‑light
- Algorithmic Auditing and Red‑Teaming LLMs: How to test for bias, safety, and misuse
- Beyond Compliance: Turning AI regulations (EU AI Act, NIST RMF) into competitive advantage
- The Social Impact of AI: Disinformation, safety, and platform accountability
- Practical Risk Management for Generative AI: Privacy, IP, model misuse, and vendor due diligence
- From Principles to Practice: Operating models, roles, and metrics for accountable AI
Ideal audiences: Executive teams, boards, risk/compliance, policy leaders, product/ML teams, platform integrity and trust & safety.
Why book Rumman? Rumman doesn’t just talk ethics—she operationalizes it. From launching the first algorithmic bias bounty to running live red‑teams of recommendation systems, she gives leaders implementable frameworks and playbooks that meet both regulatory and commercial demands.
Dr. Rumman Chowdhury for keynotes, briefings or workshops via Oration Speakers. Check availability and fees.
TWO OF HER MOST POPULAR TALKS
Operationalizing Responsible AI — From Principles to Practice Abstract: Most organizations have principles. Few have practice. In this executive session, Dr. Rumman Chowdhury shows how to translate responsible AI values into repeatable processes that ship. You’ll learn how to structure governance, set decision gates, align with the EU AI Act and NIST AI RMF and measure impact without stalling innovation. Expect clear templates for use‑case risk scoring, human‑in‑the‑loop review, model documentation and incident response.
Outcomes:
- A lightweight governance stack you can run next quarter
- Risk tiering and approval workflows for GenAI and ML
- Draft artifacts: model cards, data sheets, evaluation plans
Red‑Teaming AI Systems — Auditing Bias, Safety, and Misuse Abstract: Rumman helped pioneer algorithmic bias bounties and public audits. In this technical-to-exec bridge talk, she demystifies how to stress‑test models—LLMs, recommenders and classifiers—for fairness, safety, and abuse scenarios. Learn how to design red‑team exercises, select eval datasets, run adversarial prompts and convert findings into product fixes and policy updates.
Outcomes:
- A practical red‑team playbook and evaluation checklist
- Example metrics for bias, robustness, toxicity, and jailbreak resistance
- Guidance on vendor assessments and model transparency requirements
BIOGRAPHY
RUMMAN CHOWDHURY
Responsible AI Leader
Dr. Rumman Chowdhury is a renowned expert in responsible AI, algorithmic auditing, and AI governance. She founded Humane Intelligence, a nonprofit building community‑driven evaluations and red‑teaming for AI systems. Previously, she led Twitter’s META team, launching the industry’s first algorithmic bias bounty and public audits of recommender systems, and served as Global Lead for Responsible AI at Accenture, where she built one of the earliest enterprise AI ethics practices. Rumman advises governments, standards bodies, and global companies on policy, transparency, and risk management for AI, and speaks worldwide on translating principles into practice. She holds a PhD in Political Science with a focus on quantitative methods and an MS in Statistics. Her work has been featured by major media and recognized among the most influential voices in AI ethics and governance.
Long bio (220–260 words) Dr. Rumman Chowdhury is a leading authority on responsible AI, AI governance, and algorithmic auditing. She is the founder of Humane Intelligence, a nonprofit that designs community‑based evaluations and red‑team exercises to assess AI safety, fairness, and transparency. Previously, Rumman served as Director of META (Machine Learning Ethics, Transparency, and Accountability) at Twitter, where she launched the first algorithmic bias bounty and oversaw public audits of recommendation systems—setting new standards for industry transparency. Before Twitter, she was Global Lead for Responsible AI at Accenture, where she created and scaled one of the first enterprise‑grade AI ethics programs, operationalizing principles across product development, risk, and compliance.
Rumman advises national governments, multilaterals, and standards bodies on AI policy and regulation, and she partners with companies to convert regulation (including the EU AI Act and NIST AI RMF) into competitive, compliant operating models. A sought‑after keynote speaker and advisor, she bridges technical practice with executive decision‑making—covering governance design, evaluation frameworks, red‑teaming LLMs, and incident response.
Her work has been profiled by leading outlets and recognized with numerous awards for leadership and impact. Rumman holds a PhD in Political Science (quantitative methods) and an MS in Statistics, and has taught and published on data science, ethics, and the social impacts of technology.
Ready to turn responsible AI into real practice? Book Dr. Rumman Chowdhury for a keynote or workshop. Contact Oration Speakers for dates and fees.