Artificial Intelligence Technologies within the Risk-based Audit Approach – A Categorization and Classification Method

“This study proposes a comprehensive method (with representative AI-Technologies as a data basis) for the structured and targeted categorization and classification of AI under the risk-based audit approach. Initial feedback received by AI-Experts regarding the design and development of the artifact is collected. With the developed method, the study contributes to the descriptive and prescriptive knowledge […]

Normative Challenges of Risk Regulation of Artificial Intelligence and Automated Decision-Making

“The article addresses challenges for adequate risk regulation that arise primarily from the specific type of risks involved, i.e. risks to the protection of fundamental rights and fundamental societal values. They result mainly from the normative ambiguity of the fundamental rights and societal values in interpreting, specifying or operationalising them for risk assessments.” Lire

European AI Regulation: Brussels Effect versus Human Dignity?

“After shortly summarising the origin, context and main characteristics of the prospective regulation, this article explores whether the ‘Brussels Effect’ will manifest in ground-breaking AI regulation, or whether the Union and its Member States run the risk of hastily adopting an incapable legal framework for a technology whose effects on society are still insufficiently understood.” Lire

Trustworthy Artificial Intelligence and the European Union AI Act: On the Conflation of Trustworthiness and the Acceptability of Risk

” Adopting a risk-based approach towards AI, the EU chose to understand trustworthiness of AI in terms of the acceptability of its risks. This conflation of trustworthiness with acceptability of risk invites further reflection. Based on a narrative systematic literature review on institutional trust and the use of AI in the public sector, this paper argues that the EU […]

AI Audit Washing and Accountability

“This paper first reports on proposed and enacted transatlantic AI or algorithmic audit provisions. It then draws on the technical, legal, and sociotechnical literature to address the who, what, why, and how of algorithmic audits, contributing to the literature advancing algorithmic governance.” Lire

Comparative Analysis Regulatory of AI and Algorithm in UK, EU and USA

“The European Artificial Intelligence Board (EAIB) would be established as a new enforcement authority at the Union level. National supervisors will flank EAIB at the Member State level. Fines of up to ‘6% of global turnover, or 30 million euros for individual corporations’ can be imposed.” Lire

Artificial Intelligence Regulation in the United Kingdom: A Path to Global Leadership?

“… a growing domestic emphasis from the central government on promoting innovation through weakening checks will undermine the efficacy and ethical permissibility of initiatives. Likewise, the success of AI governance initiatives will be heavily influenced by decisions made in other jurisdictions, including the European Union. If left unaddressed, these factors risk transforming the UK into a reluctant […]

Regulating the Risks of AI

“This Article is the first to examine and compare a number of recently proposed and enacted AI risk regulation regimes. It asks whether risk regulation is, in fact, the right approach.” Lire

From Transparency to Justification: Toward Ex Ante Accountability for AI

“The EU’s GDPR and proposed AI Act tend toward a sustainable environment of AI systems. However, they are still too lenient and the sanction in case of non-conformity with the Regulation is a monetary sanction, not a prohibition. This paper proposes a pre-approval model in which some AI developers, before launching their systems into the […]

Outlook on the Future Regulatory Requirements for AI in Europe

“…  the report first assesses the concepts of fairness, bias and discrimination and illustrates the differences between these terms. In a next step, the existing legal framework is examined with regard to regulations that are already relevant for AI. Building on this analysis, special consideration is given to the Proposal of the European Commission on […]

Explainable Artificial Intelligence (Xai) in Insurance: A Systematic Review

“Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the industry’s vast stores of sensitive data on policyholders and centrality in societal progress and innovation.” Lire