Explainable artificial intelligence (xAI) is seen as a solution to making AI systems less of a "black box". It is essential to ensure transparency, fairness, and accountability - which are especially paramount in the financial sector. The aim of this study was a preliminary investigation of the perspectives of supervisory authorities and regulated entities regarding the application of xAI in the financial sector. Three use cases (consumer credit, credit risk, and anti-money laundering) were examined using semi-structured interviews at three banks and two supervisory authorities in the Netherlands. We found that for the investigated use cases a disparity exists between supervisory authorities and banks regarding the desired scope of explainability of AI systems. We argue that the financial sector could benefit from clear differentiation between technical AI (model) explainability requirements and explainability requirements of the broader AI system in relation to applicable laws and regulations.

Data-centric AI calls for better, not just bigger, datasets. As data protection laws with extra-territorial reach proliferate worldwide, ensuring datasets are legal is an increasingly crucial yet overlooked component of ``better''. To help dataset builders become more willing and able to navigate this complex legal space, this paper reviews key legal obligations surrounding ML datasets, examines the practical impact of data laws on ML pipelines, and offers a framework for building legal datasets.

Jen Oneal has stepped down from her role as co-leader of Blizzard, leaving Mike Ybarra as the head of the studio known for making Overwatch, World of Warcraft and Diablo. Oneal will temporarily transition to a new position, but will leave Activision Blizzard (fine, and King) at the end of the year. Activision Blizzard is facing a handful of lawsuits and investigations into reports of sexual harassment, gropings, and systemic gender discrimination at the studio, stemming from the leadership down. Oneal and Ybarra took over as co-leaders of Blizzard in August after president J. Allen Brack was named in the original California lawsuit, leading to his dismissal. Oneal was the first woman in a president role since Activision's founding in 1979.

Facebook will delete the "faceprints" of more than a billion people after announcing that it is shutting down its facial recognition system due to the "many concerns" about using the technology. The social media network has been under political, legal and regulatory pressure over its use of the software, which automatically identifies users in photos and videos if they have opted in to the feature. In a statement, Facebook's parent company, Meta, said it would shut down facial recognition on the platform over the coming weeks and delete 1 billion facial recognition templates. Meta's vice-president of artificial intelligence, Jerome Pesenti, said the technology had helped visually impaired and blind users identify their friends in images and can help prevent fraud and impersonation. But Pesenti said the advantages needed to be weighed against "growing concerns about the use of this technology as a whole".

On September 15 2021, the UN issued a statement that AI must not interfere with human rights. This isn't a new sentiment - last year, a similar pronouncement was issued: Michelle Bachelet, UN High Commissioner for Human Rights chief is calling for a moratorium on the use of artificial intelligence technology that poses a serious risk to human rights, including face-scanning systems that track people in public spaces. It also said Wednesday that countries should expressly ban AI applications which don't comply with international human rights law. As part of its work on technology and human rights, the UN Human Rights Office has today published a report that analyses how AI – including profiling, automated decision-making and other machine-learning technologies – affects people's right to privacy and other rights, including the rights to health, education, freedom of movement, freedom of peaceful assembly and association, and freedom of expression. Applications that should be prohibited include government "social scoring" systems that judge people based on their behavior and certain AI-based tools that categorize people into clusters such as by ethnicity or gender.

Let's be honest, it's been a rough decade at this point, and things seem to be getting worse rather than better. Online radicalization has seen many of the world's political systems spin out of control to the point of uselessness. Climate change is a problem facing literally all of us that few in power seem interested in addressing. And our economic situation seems to be predicated on everyone buying lots of stuff all the time, despite the fact that most of the cost of living is swallowed up by housing. It's a lot, and things can feel generally very bleak right now.

The technological advancement of Artificial Intelligence is impacting many areas of our lives like health care, manufacturing, entertainment, and farming. The development of AI, however, also comes with new problems. Bias, accuracy, privacy, and security issues in recent years made the general public worry about the ethical and legal consequences of AI. To address these concerns, many government bodies began to draft a legal framework around trustworthy AI so as to make it possible to regulate AI without hindering its development. Just as they did for data protection with GDPR (General Data Protection Regulations) in 2016, the EU led the world on Trustworthy AI by publishing Ethics Guidelines for Trustworthy AI (2019), White Paper on Artificial Intelligence -- A European approach to excellence and trust (2020), and A European Strategy for Data (2020).

On September 15 2021, the UN issued a statement that AI must not interfere with human rights. This isn't a new sentiment – last year, a similar pronouncement was issued: Michelle Bachelet, UN High Commissioner for Human Rights chief is calling for a moratorium on the use of artificial intelligence technology that poses a serious risk to human rights, including face-scanning systems that track people in public spaces. It also said Wednesday that countries should expressly ban AI applications which don't comply with international human rights law. As part of its work on technology and human rights, the UN Human Rights Office has today published a report that analyses how AI – including profiling, automated decision-making and other machine-learning technologies – affects people's right to privacy and other rights, including the rights to health, education, freedom of movement, freedom of peaceful assembly and association, and freedom of expression.

The European Union has developed an artificial intelligence strategy to simplify research and rules and regulations. The European Union's approach to this new technology is to implement a legal framework to address fundamental rights and safety risks. It plans to implement rules to address liability issues. It also plans to revise the sectoral safety legislation and modify the rules and regulations. The new framework grants developers, deployers, and users a certain amount of clarity if it becomes necessary for them to intervene if legislation does not cover the issues.

We are looking for a Data Analyst to join Spotify's Legal & Internal Audit ("IA") Systems team within the Financial Engineering mission. The Legal & IA Systems team is responsible for driving a variety of initiatives within Spotify's legal, audit and data privacy landscape. This team owns the data strategy for legal retention requirements and produces analyses to surface insights for legal and compliance and other stakeholders, including product and engineering. What you'll do Perform analyses on large sets of data from various sources to build analytical reports and extract insights that will help satisfy a legal data strategy. Collaborate with the team's Product Manager to prioritize work and develop a data-driven strategy for legal and relevant business teams.