Trust in AI is not a feature. It’s a design decision. Ivana Bartoletti, VP and Global Chief Privacy & AI Governance Officer at Wipro, explains what it takes to build AI systems people can trust, from governance and accountability to the challenge of scaling AI across global organisations. Drawing on her experience across policy, law and consulting, Ivana makes one point clear: governance must be built into AI from the start, not added later. “You cannot do serious governance work without understanding the policy environment.” If you’re working with AI at scale, this is essential reading. Read the full interview in the latest AI Magazine 👉 https://lnkd.in/ev4sQBYg #AI #AIGovernance #DataEthics #EnterpriseAI
Building Trust in AI Requires Governance from the Start
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Join us as our expert as he speaks about the Acceleration of AI adoption and framework to control risk. Looking forward to this presentation. Always learning... 💡 #nemko #ai #compliance
Meet our speaker: Pepijn van der Laan With over 20 years of experience in AI, strategy, and compliance, Pepijn brings deep expertise in helping organizations scale AI while managing risk and regulatory complexity. Join him on June 4 to learn how to operationalize AI governance effectively. Register now: https://lnkd.in/gmkkQyYX #ScalingAIWebinar #AIGovernance #Compliance #AILeadership #Nemko #NemkoDigital
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Creating an AI policy is an important first step, but how confident are you that it’s being followed across your organization? Many firms have policies in place, yet struggle with inconsistent adoption, unclear accountability, and gaps between documented guidelines and day-to-day AI use. At 3545, we help legal teams move beyond policy creation and into practical implementation. Our assessments evaluate how AI policies are applied in real workflows, helping identify risks, strengthen governance, and encourage responsible AI use across the organization. ✔ Evaluate policy effectiveness ✔ Identify compliance gaps ✔ Strengthen AI governance ✔ Promote responsible AI adoption Because effective AI governance isn’t just about what’s written, it’s about what’s practiced. Contact Us: https://hubs.la/Q04gh4KW0 #LegalTech #AIGovernance #AICompliance #ResponsibleAI #PolicyAudit #LawAndAI #LegalInnovation
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The HBR article on "AI nightmares" provides an insightful framework on proactive identifying risk, especially in the larger organizations with structured teams and governance. But it made me think about smaller firms that don't have the formal committees or dedicated AI oversight. They usually don't have time to build them. What they do have is speed: less red tape and faster decision-making. These smaller firms are operating more reactively than proactively. The thing is, AI risk doesn't scale with company size. The exposure is the same. They will come across bias, misinformation, client-facing errors, etc. So, while the structure in the article may not translate directly to the smaller firms, the core idea does: - Ask what could go wrong - Discuss perspectives - Get ahead of the risks It doesn't have to be complicated. These conversations need to happen, especially when about 78% of organizations use AI.
Most companies’ responsible AI strategies were built for a different era. In the age of generative AI and autonomous agents, policies and principles alone often move too slowly and leave too much open to interpretation. A more practical approach starts by identifying your organization’s AI ethical nightmares—the scenarios that could seriously damage trust, operations, or reputation—and working backward from there. The Ethical Nightmare Challenge reframes governance around three questions: What could go wrong? What safeguards need to exist? And how do you prepare employees to act effectively when risks emerge? By focusing on concrete worst-case scenarios, leaders can create AI governance systems that are faster to implement, easier to communicate, and more adaptable as the technology evolves. Read the full article to learn how this framework can help your organization prepare for the next wave of AI risk. https://s.hbr.org/4njoKCA
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When AI works, it does better than humans. When ai fails, it introduces harm in many ways. In high stakes applications, people die, lawsuits ensue and trust is eroded. Ai standards are exclusively internal. When speaking to ai companies, they follow compliance standards to the letter. But compliance standards such a HIPAA don't regulate AI, they regulate privacy and patient rights. They do not cover ai/patient interactions and what happens when ai gets it wrong. Yes, I believe that this trajectory will continue to improve and that ai will become more competent than humans in life or death situations such as these. But the regulatory conversation around ai completely misses the mark on how ai works on a fundamental level.
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Responsible AI starts with strong governance: https://gtnr.it/4vyqE60 Learn how legal and compliance leaders can build a strategic AI roadmap and manage risk. #GartnerLegal #AI #Governance #Innovation
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What are your AI nightmares? What would catastrophic AI failure look like in your business? What are the scenarios procurement, regulators, or customers would never forgive? This excellent HBR article from Reid Blackman, Ph.D. argues that most AI governance approaches are too slow, too abstract, and too disconnected from operational reality. Instead of starting with policies and principles, businesses should start by identifying their worst-case AI nightmares, then build fast-moving cross-functional teams focused on preventing them before they become operational failures. One line really stood out to me: “AI governance needs to move at the speed of AI deployment.” How fast can your AI specialists move? Harvard Business Review article [paywalled] here: https://lnkd.in/eGfvSDGm #AIGovernance #AIStrategy #AINightmares #ArtificialIntelligence
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#AI legal risks are real, but the biggest risk for many organizations is not adopting AI fast enough. To allow legal teams to support the organization-wide adoption of AI they need to ensure they have visibility of AI use cases and the right processes, documents, people, and technology in place. Join us for our upcoming webcast, on 7 May 2026, to explore how legal teams can empower AI innovation while managing risk. Register here: https://deloi.tt/48SS7Wn #DeloitteLegal #WhereLegalMeetsBusiness #ArtificialIntelligence
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#AI legal risks are real, but the biggest risk for many organizations is not adopting AI fast enough. To allow legal teams to support the organization-wide adoption of AI they need to ensure they have visibility of AI use cases and the right processes, documents, people, and technology in place. Join us for our upcoming webcast, on 7 May 2026, to explore how legal teams can empower AI innovation while managing risk. Register here: https://deloi.tt/48SS7Wn #DeloitteLegal #WhereLegalMeetsBusiness #ArtificialIntelligence
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#AI legal risks are real, but the biggest risk for many organizations is not adopting AI fast enough. To allow legal teams to support the organization-wide adoption of AI they need to ensure they have visibility of AI use cases and the right processes, documents, people, and technology in place. Join us for our upcoming webcast, on 7 May 2026, to explore how legal teams can empower AI innovation while managing risk. Register here: https://deloi.tt/48SS7Wn #DeloitteLegal #WhereLegalMeetsBusiness #ArtificialIntelligence
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LuxPerfIT has launched an indicative AI Governance & Maturity Assessment platform designed to help organizations better understand their AI governance readiness. The assessment explores areas such as: AI Governance AI Literacy Human Oversight Data Protection Risk Awareness Documentation & Monitoring The objective is not to provide legal certification, but to encourage structured discussions around responsible AI usage and organizational maturity aligned with the spirit of the EU AI Act. Assessment platform: https://lnkd.in/einASwDf #AI #AIGovernance #AIAct #DigitalTransformation #Luxembourg #Innovation #Governance #LuxPerfIT
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