The GDPR and Unstructured Data: Is Anonymization Possible?

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"This article examines the two contrasting approaches for determining identifiability that are prevalent today: (i) the risk-based approach and (ii) the strict approach in the Article 29 Working Party’s Opinion on Anonymization Techniques (WP 216). Through two case studies, we illustrate the challenges encountered when trying to anonymize unstructured datasets. We show that, while the risk-based approach offers a more nuanced test consistent with the purposes of the GDPR, the strict approach of WP 216 makes anonymization of unstructured data virtually impossible as long as the original data continues to exist."

Outlook on the Future Regulatory Requirements for AI in Europe

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"... 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 Artificial Intelligence (AI Act Proposal), which is set to play a fundamental role for the future regulation of AI."

Trade Based Money Laundering Through the Sale and Purchase of Company Shares...

"This paper aims to improve the ability of financial institutions to develop risk-based policies, procedures, and controls that are reasonably designed to (a) detect red flags relating to international wire transfers for the purchase of shares and (b) to investigate money laundering (ML) and terrorist financing (TF) through the trade system."

Consideration of Intellectual Property Insurance Essence

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"... in order to reach positive changes to take place and for intellectual property insurance to become an increasingly preferred method for supplementary protection of intellectual property, the proposed approach is to be worked in three directions. ... Namely, the directions are building a unified system, with a strict methodology and at the same time creating a legal basis which to bring in detail and unequivocal means and approaches the way in which intellectual property insurance is carried out."

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."