Part 4 of a series on AI compliance in insurance. Explores how insurers can ensure AI compliance with current and emerging regulations, like GDPR and the EU’s AI Act.

On September 5, 2024, the US, UK, and EU signed a landmark international AI treaty, promoting global AI governance, protecting human rights, and ensuring transparency.

Part 3 of a series on AI compliance in insurance: This guide delineates six key steps for embedding compliance in AI, emphasizing practical implementation strategies.

introduction the "Validation and Evaluation for Trustworthy Artificial Intelligence (VET AI) Act" by U.S. Senators John Hickenlooper and Shelley Moore Capito represents

Part 2 of a series on AI Compliance in Insurance. To ensure AI aligns with industry standards, it's crucial to benchmark its compliance effectively. This article explores how to measure AI's adherence to regulations and ethical guidelines.

Part 1 of Compliant AI Playbook for Insurers. As AI grows in the insurance industry, it brings significant risks like privacy issues, bias, and harmful recommendations. This article highlights these key compliance challenges, laying the groundwork for exploring solutions in upcoming parts.

Explore best practices for navigating state-specific regulations in worker compensation claims. Learn how to collaborate with legal experts, invest in the right AI, and foster a culture of compliance to enhance claims management and ensure adherence to laws.

AI risks perpetuating biases in insurance. Colorado's regulation requires insurers to ensure fair AI, conducting annual reviews and maintaining transparency. Insurers must audit data, test algorithms, and document processes. Tech providers help meet compliance and prevent discrimination.

A leaders' guide to introducing AI to teams thoughtfully and with care, to mitigate any intimidation or fear of job security.

How the insurance industry can navigate data privacy and security challenges in third-party claims management, in the US and Canada

Georgia House Bill 887 aims to protect against bias in AI tools. Predictive analytics can lead to discrimination and perpetuate inequalities. Individualized analytics, like Owl.co, provide fair and accurate insights for insurance claims.

Outdated technology in insurance claims management causes inefficiencies, delays, and human errors. Claims automation tools can improve efficiency, reduce costs, and increase customer satisfaction.

Discover how ML and AI are transforming insurance fraud detection. Owl.co leverages these technologies to analyze data, automate investigations, and enhance accuracy. Improve efficiency, reduce costs, and provide a better customer experience.

Discover how generative AI is revolutionizing the insurance claims industry, enhancing efficiency, improving decision-making, and streamlining operations. Embrace the power of AI for a competitive edge in claims management.

Explore how AI is transforming insurance claims adjustments, improving efficiency, accuracy, and customer experience. Discover the benefits and future outlook of AI in this domain.