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- research-articleJuly 2024
Submarine Cables and the Risks to Digital Sovereignty
AbstractThe international network of submarine cables plays a crucial role in facilitating global telecommunications connectivity, carrying over 99% of all internet traffic. However, submarine cables challenge digital sovereignty due to their ownership ...
- research-articleJuly 2023
Taking AI risks seriously: a new assessment model for the AI Act
AbstractThe EU Artificial Intelligence Act (AIA) defines four risk categories: unacceptable, high, limited, and minimal. However, as these categories statically depend on broad fields of application of AI, the risk magnitude may be wrongly estimated, and ...
- research-articleFebruary 2023
Accountability in artificial intelligence: what it is and how it works
AbstractAccountability is a cornerstone of the governance of artificial intelligence (AI). However, it is often defined too imprecisely because its multifaceted nature and the sociotechnical structure of AI systems imply a variety of values, practices, ...
- research-articleFebruary 2023
App store governance: Implications, limitations, and regulatory responses
AbstractEvents such as the riot at the United States Capitol and tightening constraints on the Russian public sphere have highlighted the socio-political significance of app store governance. This is dominated by Apple and Google as operators ...
Highlights- App store governance is an important, understudied aspect of digital governance.
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- research-articleJanuary 2023
The Blueprint for an AI Bill of Rights: In Search of Enaction, at Risk of Inaction
Minds and Machines (MIND), Volume 33, Issue 2Pages 285–292https://doi.org/10.1007/s11023-023-09625-1AbstractThe US is promoting a new vision of a “Good AI Society” through its recent AI Bill of Rights. This offers a promising vision of community-oriented equity unique amongst peer countries. However, it leaves the door open for potential rights ...
- research-articleJanuary 2023
Open source intelligence and AI: a systematic review of the GELSI literature
AbstractToday, open source intelligence (OSINT), i.e., information derived from publicly available sources, makes up between 80 and 90 percent of all intelligence activities carried out by Law Enforcement Agencies (LEAs) and intelligence services in the ...
- research-articleJanuary 2023
The Switch, the Ladder, and the Matrix: Models for Classifying AI Systems
Minds and Machines (MIND), Volume 33, Issue 1Pages 221–248https://doi.org/10.1007/s11023-022-09620-yAbstractOrganisations that design and deploy artificial intelligence (AI) systems increasingly commit themselves to high-level, ethical principles. However, there still exists a gap between principles and practices in AI ethics. One major obstacle ...
- research-articleDecember 2022
The US Algorithmic Accountability Act of 2022 vs. The EU Artificial Intelligence Act: what can they learn from each other?
Minds and Machines (MIND), Volume 32, Issue 4Pages 751–758https://doi.org/10.1007/s11023-022-09612-yAbstractOn the whole, the US Algorithmic Accountability Act of 2022 (US AAA) is a pragmatic approach to balancing the benefits and risks of automated decision systems. Yet there is still room for improvement. This commentary highlights how the US AAA can ...
- research-articleNovember 2022
Artificial intelligence in support of the circular economy: ethical considerations and a path forward
- Huw Roberts,
- Joyce Zhang,
- Ben Bariach,
- Josh Cowls,
- Ben Gilburt,
- Prathm Juneja,
- Andreas Tsamados,
- Marta Ziosi,
- Mariarosaria Taddeo,
- Luciano Floridi
AbstractThe world’s current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive environmental outcomes. Transitioning to a circular economy (CE) model of ...
- research-articleOctober 2022
Meta’s Oversight Board: A Review and Critical Assessment
Minds and Machines (MIND), Volume 33, Issue 2Pages 261–284https://doi.org/10.1007/s11023-022-09613-xAbstractSince the announcement and establishment of the Oversight Board (OB) by the technology company Meta as an independent institution reviewing Facebook and Instagram’s content moderation decisions, the OB has been subjected to scholarly scrutiny ...
- research-articleSeptember 2022
Smart cities: reviewing the debate about their ethical implications
AbstractThis paper considers a host of definitions and labels attached to the concept of smart cities to identify four dimensions that ground a review of ethical concerns emerging from the current debate. These are: (1) network infrastructure, with the ...
- research-articleJune 2022
Artificial intelligence with American values and Chinese characteristics: a comparative analysis of American and Chinese governmental AI policies
AbstractAs China and the United States strive to be the primary global leader in AI, their visions are coming into conflict. This is frequently painted as a fundamental clash of civilisations, with evidence based primarily around each country’s current ...
- abstractJune 2022
Models for Classifying AI Systems: the Switch, the Ladder, and the Matrix
FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and TransparencyPage 1016https://doi.org/10.1145/3531146.3533162Organisations that design and deploy systems based on artificial intelligence (AI) increasingly commit themselves to high-level, ethical principles. However, there still exists a gap between principles and practices in AI ethics. A major obstacle to ...
- research-articleJune 2022
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation
Minds and Machines (MIND), Volume 32, Issue 2Pages 241–268https://doi.org/10.1007/s11023-021-09577-4AbstractThe proposed European Artificial Intelligence Act (AIA) is the first attempt to elaborate a general legal framework for AI carried out by any major global economy. As such, the AIA is likely to become a point of reference in the larger discourse ...
- research-articleMarch 2022
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice
Minds and Machines (MIND), Volume 32, Issue 1Pages 185–218https://doi.org/10.1007/s11023-022-09598-7AbstractNecessity and sufficiency are the building blocks of all successful explanations. Yet despite their importance, these notions have been conceptually underdeveloped and inconsistently applied in explainable artificial intelligence (XAI), a fast-...
- research-articleMarch 2022
The ethics of algorithms: key problems and solutions
- Andreas Tsamados,
- Nikita Aggarwal,
- Josh Cowls,
- Jessica Morley,
- Huw Roberts,
- Mariarosaria Taddeo,
- Luciano Floridi
AbstractResearch on the ethics of algorithms has grown substantially over the past decade. Alongside the exponential development and application of machine learning algorithms, new ethical problems and solutions relating to their ubiquitous use in society ...
- research-articleNovember 2021
Operationalising AI ethics: barriers, enablers and next steps
AbstractBy mid-2019 there were more than 80 AI ethics guides available in the public domain. Despite this, 2020 saw numerous news stories break related to ethically questionable uses of AI. In part, this is because AI ethics theory remains highly abstract,...
- research-articleOctober 2021
The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations
AbstractIn this article, we analyse the role that artificial intelligence (AI) could play, and is playing, to combat global climate change. We identify two crucial opportunities that AI offers in this domain: it can help improve and expand current ...