AI (119)

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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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  • Year
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  • Duration
  • 7 min
  • VentureBeat
  • 2021
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Salesforce researchers release framework to test NLP model robustness

New research and code was released in early 2021 to demonstrate that the training data for Natural Language Processing algorithms is not as robust as it could be. The project, Robustness Gym, allows researchers and computer scientists to approach training data with more scrutiny, organizing this data and testing the results of preliminary runs through the algorithm to see what can be improved upon and how.

  • VentureBeat
  • 2021
  • 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
  • 7 min
  • MIT Technology Review
  • 2020
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Tiny four-bit computers are now all you need to train AI

This article details a new approach emerging in AI science; instead of using 16 bits to represent pieces of data which train an algorithm, a logarithmic scale can be used to reduce this number to four, which is more efficient in terms of time and energy. This may allow machine learning algorithms to be trained on smartphones, enhancing user privacy. Otherwise, this may not change much in the AI landscape, especially in terms of helping machine learning reach new horizons.

  • MIT Technology Review
  • 2020
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