#AI governance

#AI governance

If you work in martech, marketing operations or related roles, you've surely heard colleagues and leadership complaining about data quality and their lack of trust in data. We often place the blame for data quality on the system, because we're not willing to fully say the quiet part out loud: The No. 1 factor in data quality is the people, the processes and the level of rigor in those processes.

Taoiseach rejects suggestion that current legislation is not strong enough to deal with issue Women's Aid removes itself from X, calling the crisis a 'tipping point' Human rights lawyer Caoilfhionn Gallagher said such sexualised abuse of children online has 'devastating' impacts Ministers are scrambling to find a way to combat an explosion of digitally created images of semi-nude women and children on the social media platform X.

It's not only law firms and legal departments that are adopting GenAI systems without fully understanding what they can and cannot do - court systems may also be tempted to adopt these tools to short circuit workloads in the face of limited resources. And that poses some risks and concerns to the rule of law, a notion that hinges on accuracy, fairness, and public perception.

Across organizations of every size, I am seeing the same operational pattern take shape. Legal teams are carrying more work, adopting more technology, and fielding increasing demands from the business, yet the underlying infrastructure has not evolved at the same pace. The result is a readiness gap that grows quietly and gradually, often in the background of an otherwise high-functioning department. The encouraging part is that the leaders who recognize the pattern early are already finding practical ways to close it.

The flap of a butterfly's wings in South America can famously lead to a tornado in the Caribbean. The so-called butterfly effect-or "sensitive dependence on initial conditions," as it is more technically known-is of profound relevance for organizations seeking to deploy AI solutions. As systems become more and more interconnected by AI capabilities that sit across and reach into an increasing number of critical functions, the risk of cascade failures-localized glitches that ripple outward into organization-wide disruptions-grows substantially.

Enterprise IT execs know well the dangers of relying too much on third-parties, how automated decision systems need to always have a human in the loop, and the dangers of telling customers too much/too little when policy violations require an account shutdown. But a saga that played out Tuesday between Anthropic and the CEO of a Swiss cybersecurity company brings it all into a new and disturbing context.

We are now at the point where automation, machine learning and agentic orchestration can genuinely work together. This is not theory. It is already happening in defense and civilian agencies that have moved past pilots and into production, using agents that bring context, consistency and speed to complex workflows while preserving accountability. These seven principles for an agentic government give leaders a practical framework for adopting automation and AI responsibly.

The House Democratic Commission on AI and the Innovation Economy - which will convene throughout 2026 - includes Reps. Ted Lieu, D-Calif., Josh Gottheimer, D-N.J., and Valerie Foushee, D-N.C., as co-chairs. Reps. Zoe Lofgren, D-Calif., and Frank Pallone, D-N.J., will serve as ex officio co-chairs, due to their positions as ranking members of the Science, Space and Technology Committee and the Energy and Commerce Committee, respectively.

I began the year with a blunt reality check: leadership today is forged in public, under pressure, and in real time. With Donald Trump already installed as US president for his second term, markets have moved faster than at any point in my career, reacting not to speculation but to executive action, rhetoric, and resolve. The first lesson this year has burned itself into my thinking: certainty beats comfort.

In line with our AI Principles, we're thrilled to announce that New Relic has obtained ISO/IEC 42001:2023 (ISO 42001) certification in the role of an AI developer and AI provider. This achievement reflects our commitment to developing, deploying, and providing AI features both responsibly and ethically. The certification was performed by Schellman Compliance, LLC, the first ANAB accredited Certification Body based in the United States.

This Is for Everyone reads like a family newsletter: it tells you what happened, recounting the Internet's origin and evolution in great detail, but rarely explaining why the ideal of a decentralized Internet was not realized. Berners-Lee's central argument is that the web has strayed from its founding principles and been corrupted by profit-driven companies that seek to monetize our attention. But it's still possible to "fix the internet", he argues, outlining a utopian vision for how that might be done.

The initiative includes European Business Wallets, which the European Commission (EC) said will offer companies a single digital identity to simplify paperwork and make it much easier to do business across EU member states. Valdis Dombrovskis, commissioner for economy and productivity, said: "Today's proposal represents an important first step in our digital simplification agenda, aiming to create a more favourable business environment for European companies."

AI has rapidly become a reliable coding assistant for many developers -- so much so that many are wondering about the future of the entire profession. Entry-level coding jobs are dwindling for recent grads as teams offload junior tasks to AI assistants; at the same time, experts cite the real limitations of these tools as proof that engineers will never actually become obsolete.

Chief People Officer Gina Vorgiu Breuer explains how the enterprise software giant is preparing its global workforce for a future where AI handles 42% of tasks-without replacing humans. At SAP Connect in Las Vegas, Breuer outlined SAP's comprehensive AI workforce strategy to Techzine TV. The approach goes beyond simply introducing new tools; it fundamentally reshapes how the company thinks about jobs, skills, and human potential in an AI-augmented workplace.

"This is the moment of taking existential choices that are ahead of us," Grabar-Kitarović said.