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
- Adina Williams
- Ryan Cotterell
- Zeerak Talat
- Hagen Blix
- Josef Valvoda
- Maya Indira Ganesh
- Douwe Kiela
- Yonatan Belinkov
In Cognitive Neuroscience
In Safety Research
Citations in the corpus
- On the Machine Learning of Ethical Judgments from Natural Language (2022, background): “Under some legal systems, citizens have the right to challenge automated decision making which affects their rights or legitimate interests—for instance under the European Union’s General Data Protection Regulation (GDPR) legislation (Rodrigues, 2020).”
- Legal and Ethical Consideration in Artificial Intelligence in Healthcare: Who Takes Responsibility? (2022, background): “Cyber security weaknesses can be a severe threat because they are typically hidden and only discovered after the event (after the damage is caused) ( 28).”