Experimental Regulations for AI: Sandboxes for Morals and Mores

Ranchordás, Sofia

doi:10.5771/2747-5182-2021-1-86

Cited by 4 publications

(3 citation statements)

References 21 publications

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“…Similar to LIAISON, other approaches have also defended the importance of harnessing experimentation as a source of information to devise better regulations (Weng et al, 2015; Shimpo, 2018; Calleja et al, 2022). Moreover, the prospect of regulatory sandboxes for particular applications has raised vivid discussions, particularly in Europe (European Parliament, 2022; Ranchordás, 2021; Truby et al, 2022). LIAISON’s model is compatible with those processes, as it also aims at developing models to align robot development and regulation.…”

Section: Aligning Robot Development and Regulation: A New Modelmentioning

confidence: 99%

An iterative regulatory process for robot governance

2023

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There is an increasing gap between the policy cycle’s speed and that of technological and social change. This gap is becoming broader and more prominent in robotics, that is, movable machines that perform tasks either automatically or with a degree of autonomy. This is because current legislation was unprepared for machine learning and autonomous agents. As a result, the law often lags behind and does not adequately frame robot technologies. This state of affairs inevitably increases legal uncertainty. It is unclear what regulatory frameworks developers have to follow to comply, often resulting in technology that does not perform well in the wild, is unsafe, and can exacerbate biases and lead to discrimination. This paper explores these issues and considers the background, key findings, and lessons learned of the LIAISON project, which stands for “Liaising robot development and policymaking,” and aims to ideate an alignment model for robots’ legal appraisal channeling robot policy development from a hybrid top-down/bottom-up perspective to solve this mismatch. As such, LIAISON seeks to uncover to what extent compliance tools could be used as data generators for robot policy purposes to unravel an optimal regulatory framing for existing and emerging robot technologies.

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Section: Aligning Robot Development and Regulation: A New Modelmentioning

confidence: 99%

An iterative regulatory process for robot governance

2023

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“…Another EU task force focused on the future of AI is the Ad-Hoc Working Group on Artificial Intelligence Cybersecurity at the EU Agency for Cybersecurity (ENISA), which recently issued its first report on AI Cybersecurity Challenges (Perrault et al, 2019). The document has developed a taxonomy of AI threats and allocated them into the following blocks: nefarious activity, eavesdropping, physical attacks, unintentional damage, failures, outages, 11.…”

Section: Researchmentioning

confidence: 99%

“…for service-level agreement disaster, and legal issues. The latter has particularly mentioned 'corruption of data indexes, profiling of end-users, vendor lock-in, weak requirements analysis, lack of data governance policies, lack of data protection compliance of third parties, SLA 11 breach' (Perrault et al, 2019).…”

Section: Researchmentioning

confidence: 99%

The European Approach to Building AI Policy and Governance: A Haven for Bureaucrats or Innovators?

Shumilo

Kerikmäe

2021

IDP

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Disruptive technologies and the domination of digital platforms have challenged the global economy players twice — first, to get a hand on them, then to mitigate the possible risks. It is beyond doubt that reliable artificial intelligence (AI) can bring many benefits at the European level, such as better health care, safer and cleaner transport, more efficient manufacturing, and sustainable energy. But regulating the unknown requires considerable effort on how to attract investors using clear rules while keeping human control over the algorithms as a priority. In April 2021, the EU Commission published a holistic proposal to regulate the use of AI, which promises to put trust first and ensure that facial recognition and big data operators will never abuse fundamental human rights. Although the proposal is likely to be amended during EU-wide discussions, the new approach to AI will clearly give citizens the reassurance to adopt these technologies while encouraging companies to develop them. Hence, this article aims to map the core challenges for the EU policy on the use of AI, as well as the milestones of developing the holistic legislative proposal, and clarify if the afore-mentioned proposal indeed solves all the AI-related risks for future generations.

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Regulating AI: Challenges and the Way Forward Through Regulatory Sandboxes

Yordanova,

Bertels

2023

Law, Governance and Technology Series

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Financial industry was the first filed where it became clear that we needed a new type of regulation, an evolutionary and anticipatory approach that can at least stand chance to mitigate the new risks posed by disruptive technologies such as artificial intelligence (AI). This approach took the shape of various tools, none of which has showed more prominence than the regulatory sandboxes. This rather young approach to regulation spread across various sectors and jurisdictions from FinTech to privacy and healthcare.The European Commission recognised the potential of the regulatory sandboxes as an increasing compliance mechanism but also as a way to facilitate innovation and thus included them as part of the draft regulation on artificial intelligence (the AI Act). In this article we analyse the potential of the regulatory sandboxes for regulating AI in the format envisioned in Article 53 and 54 from the draft AI Act and the challenges this approach could face based on the experience from earlier regulatory sandboxes involving AI products or services. We also aim to suggest some tailor-made solutions that would mitigate potential disadvantages of the regulatory sandboxes for AI, including how to balance the emerging ‘Innovation Principle’ and the protection of human rights.

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Experimental Regulations for AI: Sandboxes for Morals and Mores

Cited by 4 publications

References 21 publications

An iterative regulatory process for robot governance

An iterative regulatory process for robot governance

The European Approach to Building AI Policy and Governance: A Haven for Bureaucrats or Innovators?

Regulating AI: Challenges and the Way Forward Through Regulatory Sandboxes

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