Day: January 26, 2026

Strengthening Data Governance in the Age of AI

Organizations must adopt a zero-trust approach to data governance to mitigate risks associated with AI-generated data, as highlighted by Gartner’s research. With the increasing reliance on generative AI, unverified data poses significant threats to the integrity of large language models and overall business outcomes.

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Preventing BIPA Class Actions in AI Meeting Tools: 6 Essential Steps

AI notetaker apps face increasing scrutiny under Illinois’ Biometric Information Privacy Act (BIPA). A recent class action highlights significant legal risks for employers. To reduce litigation exposure, businesses should inventory their AI tools, understand data collection practices, and implement clear policies on AI usage in meetings.

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Shifting AI Governance from Principles to Impact

On January 22, 2026, the AIP2 Lab in London brought together leaders from government and industry to advance democratic AI governance from principles to real-world impact, emphasizing responsible scaling, digital sovereignty balanced with openness, and the challenges of governance in B2B versus B2G contexts.

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California’s Evolving AI and Privacy Landscape in 2026

As 2026 begins, California businesses adapt to new AI and privacy legislation, including updated California Consumer Privacy Act regulations. With more reported data breaches, the California Privacy Protection Agency is expected to increase enforcement of data privacy laws this year.

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EU’s Bold Move to Regulate AI and Digital Platforms in 2026

In January 2026, European policymakers intensified digital oversight through the Technology Regulation EU, focusing on artificial intelligence and large online platforms. This framework ensures accountability, transparency, and public trust while balancing innovation in the rapidly evolving digital landscape.

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House Bill Aims to Enhance AI Training Data Transparency

On January 22, 2026, bipartisan Representatives introduced the TRAIN Act to increase transparency in AI training data, allowing copyright owners to subpoena information on the use of their works in generative AI models. This legislation aims to clarify AI training processes and offer better protection for intellectual property rights.

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