RecordPoint has appointed Dean Gonsowski as Chief Revenue Officer and Craig Taylor as Director of Partners to strengthen its AI and data governance efforts for regulated organizations, reflecting its commitment to meeting growing demand for effective data management amid increasing AI adoption.
Canada currently lacks comprehensive AI legislation and depends on existing laws and internal policies to manage AI use. The proposed Artificial Intelligence and Data Act (AIDA) remains unenacted, limiting enforcement capabilities over AI.
The Law Society of Ontario Tribunal dismissed a lawyer’s motion for bias after he admitted to using generative AI, specifically Grok, for his submissions without sufficient verification. The tribunal found no bias in its proceedings and directed the lawyer to seek legal assistance for the next stage.
This Ethics Spotlight examines how AI impacts human dignity, underscoring the importance of including dignity in AI ethics discussions. It explores diverse perspectives on dignity’s societal significance, responsible AI use, and challenges in virtual environments.
Utah’s balanced and progressive AI regulatory framework has influenced the Trump administration to allow the state to maintain its AI policies. Lawmakers believe this approach could serve as a model for future federal AI legislation.
The Spanish government has approved a bill to combat fake images generated by artificial intelligence and to strengthen consent rules for image use. The legislation includes provisions for child protection and makes it illegal to use AI-generated images or voices for commercial purposes without consent.
Jim Sullivan’s book, “The Book on AI Doc Review,” argues that AI-powered document review can outperform humans in eDiscovery by improving classification accuracy. The author outlines methodologies for validating these reviews using metrics like recall and precision, emphasizing sampling and pre-validation to ensure quality results.
In 2026, organizations will adopt a disciplined approach to agentic AI, focusing on specific use cases, governance controls, and measurable performance outcomes to determine which projects progress from pilot to production.
AI models play a crucial role in decision-making for financial institutions, but their opacity presents compliance challenges. As reliance on third-party foundational models increases, institutions must navigate the complexities of transparency, validation, and regulatory requirements to maintain customer trust and operational integrity.
On December 19, New York became the first state to enact major AI safety legislation with the signing of the RAISE Act, following President Trump’s executive order on federal preemption of state AI laws. As federal enforcement narrows, states are imposing stricter compliance requirements, creating a complex regulatory landscape for companies deploying AI.
