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White Papers

DIY AI Governance: A Starting Guide
White Paper
White Paper
DIY AI Governance: A Starting Guide
A downloadable guide giving an overview of the key aspects of AI GRC, one of the key points is to promote the HAI platform as the solution to the challenges of AI GRC throughout the guide.
Reducing AI Harms and Lawsuits through AI Governance, Risk Management, and Compliance
White Paper
White Paper
Reducing AI Harms and Lawsuits through AI Governance, Risk Management, and Compliance
Artificial intelligence is revolutionising industries worldwide, saving time and money, and removing the burden on human workers. However, this is not without risks, as demonstrated by several harms and lawsuits that have been observed in recent years. This white paper explores the risks of using AI, with a focus on HR Tech, Insurtech, biometrics, fintech, healthcare, housing, and social media and generative AI, as well as how AI Governance, Risk, and Compliance can make AI safer and increase trust.
Promoting Fairness and Equality in Hiring: Understanding the NYC Bias Audit Law
White Paper
White Paper
Promoting Fairness and Equality in Hiring: Understanding the NYC Bias Audit Law
To address growing concerns about the use of automated employment decision tools (AEDTs) in making employment decisions, particularly in relation to the risk of discriminatory outcomes, the New York City Council took decisive action and passed legislation that mandates bias audits of these tools. In this paper, we take an in-depth look at the New York City Bias Audit Law (Local Law 144) now that the NYC Department of Consumer and Worker Protection (DCWP) has released the final version of its adopted rules. Announcing a final enforcement date of 5 July 2023.
Regulation of AI in Biometrics: The Key Laws You Need to Know
White Paper
White Paper
Regulation of AI in Biometrics: The Key Laws You Need to Know
The use of biometric technology and artificial intelligence (AI), from fingerprint scanners to facial recognition, has become increasingly widespread, offering a range of benefits such as convenience, faster service, and improved security. As technology advances, so will the forms of biometric data that can be derived from individuals. In this paper we explore what biometrics are, the regulatory landscape and current legal actions against biometrics, as well as how to manage the risks associated with biometrics moving forward.
Insurance and AI: The Legal Implications
White Paper
White Paper
Insurance and AI: The Legal Implications
Given that insurance practices are considered a high-risk application of AI since access to policies can have significant implications on an individual’s life, particularly in the case of life and health insurance, recent years have seen an emergence of efforts to regulate insurtech. In this whitepaper, we give an overview of some of the risks associated with the misuse of insurtech before providing an overview of the regulatory efforts targeted at this sector, with a focus on the US and EU.
Requirements for High-Risk AI Systems
White Paper
White Paper
Requirements for High-Risk AI Systems
The EU AI Act (EU AIA) proposes a “risk-based approach” for regulating AI systems, where systems are classed as having (1) low or minimal risk, (2) limited risk, (3) high-risk, or (4) unacceptable risk.
Regulation of HR Tech: The Key Laws You Need to Know [July 2023]
White Paper
White Paper
Regulation of HR Tech: The Key Laws You Need to Know [July 2023]
HR has well and truly embraced AI, using the technology to automate processes such as candidate sourcing, performance reviews, and internal mobility. This has allowed HR professionals to allocate their time and resources more efficiently, while automation can also make the recruitment process more engaging and coherent for candidates. But automated tools also come with risks, particularly in terms of algorithmic bias.
The EU AI Act’s Risk-Based Approach: High-Risk Systems and What They Mean for Users
White Paper
White Paper
The EU AI Act’s Risk-Based Approach: High-Risk Systems and What They Mean for Users
The use of AI is proliferating globally across all sectors. While this can have many benefits including increased efficiency and greater accuracy, the use of these systems can pose novel risks. As such, policymakers around the world are starting to propose legislation to manage these risks.
The New York City Bias Audit Law: Regulating AI and Automation in HR
White Paper
White Paper
The New York City Bias Audit Law: Regulating AI and Automation in HR
Artificial intelligence (AI) and automated employment decision tools are revolutionizing talent management in organizations, providing a scalable and efficient solution to sourcing and retaining top talent.
Regulation of AI and Algorithms in the US: Federal, State-level and Local Approaches
White Paper
White Paper
Regulation of AI and Algorithms in the US: Federal, State-level and Local Approaches
Across the US, legislation aiming to regulate the use of artificial intelligence (AI) and automated systems is starting to emerge. While most of these efforts are at the state and local level, with California, New York City, DC, and Colorado all proposing legislation, some efforts have also been made at the federal level.
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