Research

Responsible AI

A comprehensive approach to the ethical and responsible use of AI.

A Multidisciplinary Research Area Aiming for AI Systems that Benefit Individuals, Societies, and the Environment

By encompassing the ethical, legal, and technical aspects of developing and deploying beneficial AI technologies, we ensure your AI system does not cause harm, interfere with human agency, discriminate, or waste resources.

Establishing Responsible AI Guidelines for Developing AI Applications and Research

Our interdisciplinary team of AI ethicists, responsible AI leaders, computer scientists, philosophers, legal scholars, sociologists, and psychologists collaborate to make meaningful progress, translate ethics in to practice and shape the future of technology. We work with academic and industry partners across domains including health, criminal justice, finance, and social media to:

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Establish guidelines for AI ethics governance mechanisms

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Translate abstract values into practical guiding principles

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Install ethics training for AI practitioners

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Produce concrete, action-guiding tools for developing AI applications and research

How We Help Partners

We are a multidisciplinary team of experts with experience translating ethics into practice. We draw on Northeastern's strengths and existing collaborations with academic and industry partners to address the field’s most pressing questions and address context-specific challenges related to fairness, bias, autonomy, diversity, transparency, explainability, and privacy.

Our work with academic and industry partners involves:

Translating abstract values into practical guiding principles

Establishing ethics training for AI practitioners

Producing concrete, actionable tools for developing AI applications

Responsible AI Readiness Quiz

Take our 2-minute quiz to assess your company’s AI governance maturity—from bias mitigation and privacy safeguards to ethics, oversight, and transparency.
Get a snapshot of where you stand and what steps to take next.

Take the Quiz

Responsible AI Events:

Mitigating the Challenges and Risks of Enterprise AI Implementations: AI Safety Technical and Business Solutions from Industry Experts
October 28, 2025
Human-Centered AI: Turning Complexity into Better Products
October 21, 2025
RAI Workshop Series – Fairness Evaluation & Mitigation: Distribution Shift and Representation Learning Perspective
October 2, 2025
RAI Workshop Series – Generative AI as a Search Engine: Disruption or Hype?
August 21, 2025
Ai4
August 11, 2025

Our Responsible AI Team

Cansu Canca
Director of Responsible AI Practice

c.canca@northeastern.edu

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Charlie Meyers
Research Scientist

c.meyers@northeastern.edu

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Meredith McFadden
Research Scientist

me.mcfadden@northeastern.edu

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Thulasi Tholeti
Postdoctoral Research Fellow

t.tholeti@northeastern.edu

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Resmi Ramachandranpillai
Postdoctoral Research Fellow

r.ramachandranpillai@northeastern.edu

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Agata Lapedriza
Principal Research Scientist

a.lapedriza@northeastern.edu

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Annika Schoene
Research Scientist

a.schoene@northeastern.edu

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Shiran Dudy
Research Scientist

s.dudy@northeastern.edu

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