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Finale Doshi-Velez

Faculty Associate


Finale Doshi-Velez is a Gordon McKay Professor in Computer Science at the Harvard Paulson School of Engineering and Applied Sciences. She completed her MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, healthcare, and interpretability.

Projects & Tools

AI: Transparency and Explainability

There are many ways to hold AI systems accountable. We focus on issues related to obtaining human-intelligible and human-actionable information.


Nov 27, 2017

Accountability of AI Under the Law: The Role of Explanation

The paper reviews current societal, moral, and legal norms around explanations, and then focuses on the different contexts under which an explanation is currently required under…


Jun 11, 2019

Artificial Intelligence in Society

A broad overview of the technical, economic, political, and social landscapes of AI, including its positive and negative impacts

Mar 20, 2018

AI is more powerful than ever. How do we hold it accountable?

Trying to understand advanced AI is like trying to understand the inner workings of another person’s mind.


Cyberlaw Clinic Blog

Clinic Supports Finale Doshi-Velez, Elena L. Glassman in Submitting AI Comment to NIST

Professors Finale Doshi-Velez and Elena Glassman, with assistance from the Cyberlaw Clinic, submitted an administrative comment on AI to the National Institute of Standards and…

Feb 4, 2024
Harvard Magazine

Ethics and the dawn of decision-making machines

Even a thoughtfully designed algorithm must make decisions based on inputs from a flawed, imperfect, unpredictable, idiosyncratic real world

Dec 17, 2018


Nov 2, 2021 @ 12:00 PM

Accounting for AI — a Comparison of Methods

VIDEO: Join the discussion about the pros and cons of different methods of holding AI accountable...