Legal and human rights issues of AI: Gaps, challenges and vulnerabilities

By Rowena Rodrigues. 2020

331 citations recorded by the source corpus.

Abstract This article focusses on legal and human rights issues of artificial intelligence (AI) being discussed and debated, how they are being addressed, gaps and challenges, and affected human rights principles. Such issues include: algorithmic transparency, cybersecurity vulnerabilities, unfairness, bias and discrimination, lack of contestability, legal personhood issues, intellectual property issues, adverse effects on workers, privacy and data protection issues, liability for damage and lack of accountability. The article uses the frame of ‘vulnerability’ to consolidate the understanding of critical areas of concern and guide risk and impact mitigation efforts to protect human well-being. While recognising the good work carried out in the AI law space, and acknowledging this area needs constant evaluation and agility in approach, this article advances the discussion, which is important given the gravity of the impacts of AI technologies, particularly on vulnerable individuals and groups, and their human rights.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Safety Research

View Paper: https://www.semanticscholar.org/paper/211ffacc2cb4d1a68616dfe125b89377fa76aa63

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Adina Williams
  2. Ryan Cotterell
  3. Zeerak Talat
  4. Hagen Blix
  5. Josef Valvoda
  6. Maya Indira Ganesh
  7. Douwe Kiela
  8. Yonatan Belinkov

In Cognitive Neuroscience

  1. Ryan Cotterell
  2. Zeerak Talat
  3. Adina Williams

In Safety Research

  1. Ryan Cotterell
  2. Zeerak Talat
  3. Adina Williams

Citations in the corpus