Machine Learning (84)

View options:

Find narratives by ethical themes or by technologies.

FILTERreset filters
Themes
  • Privacy
  • Accountability
  • Transparency and Explainability
  • Human Control of Technology
  • Professional Responsibility
  • Promotion of Human Values
  • Fairness and Non-discrimination
Show more themes
Technologies
  • AI
  • Big Data
  • Bioinformatics
  • Blockchain
  • Immersive Technology
Show more technologies
Additional Filters:
  • Media Type
  • Availability
  • Year
    • 1916 - 1966
    • 1968 - 2018
    • 2019 - 2069
  • Duration
  • 5 min
  • MIT Technology Review
  • 2019
image description
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
  • 7 min
  • The New Republic
  • 2020
image description
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
  • Chronicle
  • 2021
image description
Artificial Intelligence Is a House Divided

The history of AI contains a pendulum which swings back and forth between two approaches to artificial intelligence; symbolic AI, which tries to replicate human reasoning, and neural networks/deep learning, which try to replicate the human brain.

  • Chronicle
  • 2021
  • 7 min
  • MIT Tech Review
  • 2020
image description
Why 2020 was a pivotal, contradictory year for facial recognition

This article examines several case studies from the year of 2020 to discuss the widespread usage, and potential for limitation, of facial recognition technology. The author argues that its potential for training and identification using social media platforms in conjunction with its use by law enforcement is dangerous for minority groups and protestors alike.

  • MIT Tech Review
  • 2020
  • 5 min
  • Venture Beat
  • 2021
image description
Google targets AI ethics lead Margaret Mitchell after firing Timnit Gebru

Relates the story of Google’s inspection of Margaret Mitchell’s account in the wake of Timnit Gebru’s firing from Google’s AI ethics division. With authorities in AI ethics clearly under fire, the Alphabet Worker’s Union aims to ensure that workers who can ensure ethical perspectives of AI development and deployment.

  • Venture Beat
  • 2021
  • 7 min
  • VentureBeat
  • 2021
image description
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
Load more