Machine Learning (79)

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Find narratives by ethical themes or by technologies.

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Themes
  • Privacy
  • Accountability
  • Transparency and Explainability
  • Human Control of Technology
  • Professional Responsibility
  • Promotion of Human Values
  • Fairness and Non-discrimination
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Technologies
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  • Year
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  • 5 min
  • MIT Technology Review
  • 2019
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When algorithms mess up, the nearest human gets the blame

Humans take the blame for failures of AI automated systems, protecting the integrity of the technological system and becoming a “liability sponge.” It is necessary to redefine the role of humans in sociotechnical systems.

  • MIT Technology Review
  • 2019
  • 5 min
  • Business Insider
  • 2020
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One of Google’s leading AI researchers says she’s been fired in retaliation for an email to other employees

This article tells the story of Timnit Gebru, a Google employee who was fired after Google refused to take her research on machine learning and algorithmic bias into full account. She was terminated hastily after sending an email asking Google to meet certain research-based conditions. Gebru is a leading expert in the field of AI and bias.

  • Business Insider
  • 2020
  • 5 min
  • MIT Tech Review
  • 2020
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The Year Deepfakes Went Mainstream

With the surge of the coronavirus pandemic, the year 2020 became an important one in terms of new applications for deepfake technology. Although a primary concern of deepfakes is their ability to create convincing misinformation, this article describes other uses of deepfake which center more on entertaining, harmless creations.

  • MIT Tech Review
  • 2020
  • 12 min
  • Wired
  • 2018
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How Cops Are Using Algorithms to Predict Crimes

This video offers a basic introduction to the use of machine learning in predictive policing, and how this disproportionately affects low income communities and communities of color.

  • Wired
  • 2018
  • 6 min
  • TED
  • 2020
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How AI can help shatter barriers to equality

Jamila Gordon, an AI activist and the CEO and founder of Lumachain, tells her story as a refugee from Ethiopia to illuminate the great strokes of luck that eventually brought her to her important position in the global tech industry. This makes the strong case for introducing AI into the workplace, as approaches using computer vision can lead to greater safety and machine learning can be applied to help those who may speak a language not dominant in that workplace or culture train and acclimate more effectively.

  • TED
  • 2020
  • 7 min
  • The New Republic
  • 2020
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Who Gets a Say in Our Dystopian Tech Future?

The narrative of Dr. Timnit Gebru’s termination from Google is inextricably bound with Google’s irresponsible practices with training data for its machine learning algorithms. Using large data sets to train Natural Language Processing algorithms is ultimately a harmful practice because for all the harms to the environment and biases against certain languages it causes, machines still cannot fully comprehend human language.

  • The New Republic
  • 2020
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