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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.

Selected Additional Shinies: BECA recipient, AFOSR YIP and NSF CAREER recipient; Sloan Fellow; IEEE AI Top 10 to Watch


Projects & Tools

Past

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.


Publications

Publication
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…


News

News
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

News
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.


Community

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

Events

Event
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...