Human Rights and Technology
New Challenges for Justice and Accountability
Bibliographic Data
| ID | 24223227 |
|---|---|
| Authors | Molly K Land (University of Connecticut), Jay D Aronson (Carnegie Mellon University) |
| Year | 2020 |
| Volume | 16 |
| Issue | 1 |
| Pages | 223-240 |
| Publication date | 2020-10-13 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annual Review of Law and Social Science (BOOK_SERIES) |
| Journal identifiers | ISSN: 1550-3585 • E-ISSN: 1550-3631 |
| Publisher | Annual Reviews (PUBLISHER • US) |
| DOI | 10.1146/annurev-lawsocsci-060220-081955 |
| Language | EN |
| Citations received | 10 |
| References cited | 22 |
This review surveys contemporary challenges in the field of technology and human rights. The increased use of artificial intelligence (AI) in decision making in the public and private sectors—e.g., in criminal justice, employment, public service, and financial contexts—poses significant threats to human rights. AI obscures and attenuates responsibility for harms in ways that undermine traditional mechanisms for holding wrongdoers accountable. Further, technologies that scholars and practitioners once thought would democratize human rights fact finding have been weaponized by state and non-state actors. They are now used to surveil and track citizens and spread disinformation that undermines public trust in knowledge. Addressing these challenges requires efforts to ensure that the development and implementation of new technologies respects and promotes human rights. Traditional distinctions between public and private must be updated to remain relevant in the face of deeply enmeshed state and corporate action in connection with technological innovation.
Data-driven futures of international refugee law
Requirements for trustworthy AI-enabled automated decision-making in the public sector
Can ChatGPT be an author? Generative AI creative writing assistance and perceptions of authorship, creatorship, responsibility, and disclosure
Surveying Judges about artificial intelligence
Algorithmic accountability in U.S. cities
Mapping the Adoption of Disruptive Technologies in Public Administration
The promises and challenges of addressing artificial intelligence with human rights
Examining the Potential Usages, Features, and Challenges of Using ChatGPT Technology
Interactive Digital Platforms, Human Rights Fact Production, and the International Criminal Court
Governance by Data
Design Justice
Forensic Architecture
Defending Economic, Social and Cultural Rights
Affective computing
Dissecting racial bias in an algorithm used to manage the health of populations
The Human Rights Obligations of Non-State Actors
Half the Truth is Often a Great Lie”
Law, Innovation, and Collaboration in Networked Economy and Society
President XI's Surveillance State
Deep neural networks are more accurate than humans at detecting sexual orientation from facial images
| Unique citing works | 10 |
|---|---|
| Citations per year | 2 |
| Citation span | 2021 - 2025 (5) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 10 |