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Publications

Publications

Filter Results: (1,098) Arrow Down
Filter Results: (1,098) Arrow Down Arrow Up

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  • All HBS Web  (1,098)
    • News  (185)
    • Research  (762)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (496)

Show Results For

  • All HBS Web  (1,098)
    • News  (185)
    • Research  (762)
    • Events  (8)
    • Multimedia  (14)
  • Faculty Publications  (496)
← Page 4 of 1,098 Results →
  • 18 Feb 2022
  • News

Behind the Research: Bias in AI with Himabindu Lakkaraju, Edward McFowland III, and Seth Neel

  • 2003
  • Working Paper

Auditor Independence, Conflict of Interest, and the Unconscious Intrusion of Bias

By: Don A. Moore, George Loewenstein, Lloyd Tanlu and Max H. Bazerman
Citation
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Moore, Don A., George Loewenstein, Lloyd Tanlu, and Max H. Bazerman. "Auditor Independence, Conflict of Interest, and the Unconscious Intrusion of Bias." Harvard Business School Working Paper, No. 03-116, April 2003.
  • 21 Aug 2013
  • News

Educate Everyone About Second-Generation Gender Bias

  • 18 Oct 2004
  • Research & Ideas

The Bias of Wall Street Analysts

up until the point (and even after) the company tumbled off a cliff. Indeed, HBS professor Mark Bradshaw and collaborators Scott Richardson and Richard Sloan found that pre-year 2000 forecasts View Details
Keywords: by Ann Cullen; Financial Services
  • 05 Jun 2018
  • News

Did The Starbucks Racial Bias Training Work?

  • 07 Mar 2023
  • HBS Case

ChatGPT: Did Big Tech Set Up the World for an AI Bias Disaster?

year detailing Gebru’s efforts within Google to urge caution with AI, saying tech companies shouldn’t race to launch systems without considering the potential risks and harms they could cause. She warned that unchecked AI databases could... View Details
Keywords: by Scott Van Voorhis; Technology
  • 08 Aug 2013
  • News

Study finds online ratings vulnerable to bias

  • 16 Nov 2016
  • News

The best ways to combat bias

  • 18 Oct 2022
  • Research & Ideas

When Bias Creeps into AI, Managers Can Stop It by Asking the Right Questions

algorithm generates fair outcomes. As the algorithm sorts through information to optimize its objective, BEAT detects and eliminates bias at key points in the training process. For instance, BEAT could help... View Details
Keywords: by Rachel Layne
  • May 2022
  • Case

Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models

By: Tsedal Neeley and Stefani Ruper
Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that she accepted your resignation.” Heart... View Details
Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation
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Neeley, Tsedal, and Stefani Ruper. "Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models." Harvard Business School Case 422-085, May 2022.
  • 01 Oct 2019
  • News

The bias that can cause catastrophe

  • 01 Mar 2016
  • News

Research Brief: The Benefits of Bias

specialized expertise to the process—which some worry might create subject-area bias in the decision-making process and affect the quality of research. Assistant Professor Danielle Li takes a mathematical... View Details
Keywords: Erin Peterson
  • May 28, 2018
  • Article

How Companies Can Identify Racial and Gender Bias in Their Customer Service

By: Alexandra C. Feldberg and Tami Kim
Research shows that minority customers — blacks and Asians — regularly receive worse customer service than whites in ways that are not immediately obvious to onlookers (or even managers). These results prompt a couple of questions for executives and managers. One, does... View Details
Keywords: Internal Audit; Customers; Service Delivery; Prejudice and Bias; Race; Gender; Organizational Change and Adaptation
Citation
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Related
Feldberg, Alexandra C., and Tami Kim. "How Companies Can Identify Racial and Gender Bias in Their Customer Service." Harvard Business Review (website) (May 28, 2018).
  • 2015
  • Working Paper

Expertise vs. Bias in Evaluation: Evidence from the NIH

By: Danielle Li
Evaluators with expertise in a particular field may have an informational advantage in separating good projects from bad. At the same time, they may also have personal preferences that impact their objectivity. This paper develops a framework for separately identifying... View Details
Keywords: Prejudice and Bias; Performance Evaluation; Experience and Expertise
Citation
Read Now
Related
Li, Danielle. "Expertise vs. Bias in Evaluation: Evidence from the NIH." Harvard Business School Working Paper, No. 16-053, October 2015.
  • September 29, 2023
  • Article

Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

By: Simon Friis and James Riley
When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
Keywords: AI and Machine Learning; Prejudice and Bias; Equality and Inequality
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Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
  • 22 May 2016
  • Video

2016 G&WS: Lori Mackenzie (Clayman Institute) Presents on Identifying and Blocking Gender Bias in the Workplace

  • 19 Nov 2019
  • Op-Ed

Gender Bias Complaints against Apple Card Signal a Dark Side to Fintech

bias in Goldman Sachs’s underwriting model. (Goldman developed and issued the card.) Adding fuel to the fire, Apple co-founder Steve Wozniak shared that the same thing had happened to him View Details
Keywords: by Karen G. Mills; Financial Services
  • 02 Aug 2021
  • Blog Post

ALUMNI WORK TO REVERSE BIAS THROUGH PHILANTHROPY

a.TOCLinkHed:hover { text-decoration:underline!important; } a.TOCLink:hover { color:#ed6a47!important; text-decoration:underline!important; } @media screen and (min-width:903px) { } /* end of media query */ @media screen View Details
  • 16 Dec 2022
  • Research & Ideas

Why Technology Alone Can't Solve AI's Bias Problem

diversifying their workforces, more firms are scrutinizing the results of conventional algorithms on recruiting websites. But do fair rankings actually weed out gender bias and allow more women to rise to... View Details
Keywords: by Michael Blanding; Technology
  • 31 May 2018
  • News

Starbucks’ racial bias training has another goal

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