Unlock the Power of Responsible AI: Event Guide

With GenAI booming and regulations tightening—from the EU AI Act to NIST guidelines—Responsible AI is no longer optional. It’s your competitive edge.   Ensuring responsible AI is embedded into your organisation is crucial to innovation in this exploding landscape of AI.

Responsible AI NA topic highlights: 

• Operationalizing Responsible AI at Scale
• Embedding Enterprise Governance Frameworks
• Tackling Model Risk & AI Hallucinations
• Regulation Deep Dive: EU AI Act, NIST, U.S. Policy
• Ensuring Third-Party AI Compliance
• Driving GenAI Innovation Without Compromise

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The rapid adoption of Artificial Intelligence (AI) and Generative AI (GenAI) has captivated businesses worldwide. However, many organizations have rushed into AI implementation without fully addressing the risks. This misalignment between technology and business objectives has led to poor return on investment (ROI), low stakeholder trust, and even high-profile failures—ranging from biased decision-making to data breaches. A recent global survey by Accenture highlights the growing concern: 56% of Fortune 500 companies now list AI as a risk factor in their annual reports, up from just 9% a year ago. Even more striking, 74% of these companies have had to pause at least one AI or GenAI project in the past year due to unforeseen challenges. The risks are escalating.

AI-related incidents—from algorithmic failures to cybersecurity breaches—have risen 32% in the last two years and surged twentyfold since 2013. Looking ahead, 91% of organizations expect AI-related incidents to increase, with nearly half predicting a significant AI failure within the next 12 months—potentially eroding enterprise value by 30%. Get Ahead of AI Challenges.

The rapid adoption of Artificial Intelligence (AI) and Generative AI (GenAI) has captivated businesses worldwide. However, many organizations have rushed into AI implementation without fully addressing the risks. This misalignment between technology and business objectives has led to poor return on investment (ROI), low stakeholder trust, and even high-profile failures—ranging from biased decision-making to data breaches. A recent global survey by Accenture highlights the growing concern: 56% of Fortune 500 companies now list AI as a risk factor in their annual reports, up from just 9% a year ago. Even more striking, 74% of these companies have had to pause at least one AI or GenAI project in the past year due to unforeseen challenges.

For companies, these risks are escalating. AI-related incidents—from algorithmic failures to cybersecurity breaches—have risen 32% in the last two years and surged twentyfold since 2013. Looking ahead, 91% of organizations expect AI-related incidents to increase, with nearly half predicting a significant AI failure within the next 12 months—potentially eroding enterprise value by 30%. Helping companies get ahead of these challenges can come a long way.