Natural Language Interfaces (15)

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
  • 12 min
  • Kinolab
  • 1965
image description
Supercomputer Rule and Condensing Human Behavior

The city of Alphaville is under the complete rule of Alpha-60, an omnipresent robot whose knowledge is more vast than that of any human. This robot, whose learning and knowledge model is deemed “too complex for human understanding,” cements its rule through effectively outlawing emotion in Alphaville, with all definitions of consciousness centering on rationality. All words expressing curiosity or emotion are erased from human access, with asking “why” being replaced with saying “because.” Lemmy is a detective who has entered Alphaville from an external land to destroy Alpha-60. However, in their conversation, Alpha-60 is immediately able to suss out the suspicious aspects of Lemmy’s visit and character.

  • Kinolab
  • 1965
  • 5 min
  • MIT Tech Review
  • 2020
image description
AI Summarisation

The Semantic Scholar is a new AI program which has been trained to read through scientific papers and provide a unique one sentence summary of the paper’s content. The AI has been trained with a large data set focused on learning how to process natural language and summarise it. The ultimate idea is to use technology to help learning and synthesis happen more quickly, especially for figure such as politicians.

  • MIT Tech Review
  • 2020
  • 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
  • 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
  • 7 min
  • CNN
  • 2021
image description
South Korea has used AI to bring a dead superstar’s voice back to the stage, but ethical concerns abound

The South Korean company Supertone has created a machine learning algorithm which has been able to replicate the voice of beloved singer Kim Kwang-seok, thus performing a new single in his voice even after his death. However, certain ethical questions such as who owns artwork created by AI and how to avoid fraud ought to be addressed before such technology is used more widely.

  • CNN
  • 2021
  • 7 min
  • VentureBeat
  • 2021
image description
GPT-3: We’re at the very beginning of a new app ecosystem

The GPT-3 Natural Language Processing model, created by the company open AI and released in 2020, is the most powerful of its kind, using a generalized approach to feed its machine learning algorithm in order to mirror human speech. The potential applications of such a powerful program are manifold, but this potential means that many tech monopolies may want to enter an “arms race” to get the most powerful model possible.

  • VentureBeat
  • 2021
Load more