Welcome to the Responsible AI Summit North America: Explore the agenda!

Responsible AI holds the keys to AI acceleration. While many high-value use cases come with significant risks that can lead to delays or avoidance, implementing responsible AI practices can unlock extraordinary value. While regulatory positions differ across the globe, the EU AI Act & other international regulation have broadened the awareness and increased the urgency - particularly for those businesses operating overseas. Ensuring responsible AI is embedded into your organisation is crucial to innovation in this exploding landscape of AI.

Responsible AI NA topic highlights: 

• Operationalizing & Embedding Responsible AI Governance Across an Enterprise Organisation
• Optimizing Model Risk Management
• Navigating Internal Accountability, Centralisation of Responsibility, Training, Literacy, Awareness
• Using Responsible AI as a Key to Generative AI Acceleration & Innovation
• AI Evaluation & Controls: Mitigating Risk, Testing, Bias, Hallucinations
• Understanding Third-Party AI Accountability - Navigating the Complex Vendor-Buyer Landscape in a Rapidly-Evolving Landscape
• Coordinating the Global Role of Regulation in Promoting Responsible AI – NIST, EU AI Act, Trump Administration, Jurisdictional Approaches
  

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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.

DeepSeek has shown that it's possible to develop a state-of-the-art AI model that is affordable, energy-efficient, and nearly open-source. However, the real question is whether DeepSeek can maintain its impressive momentum—something that may ultimately depend on how its ethical standards measure up to OpenAI’s. Let’s dive in.

The rapid evolution of Generative AI technologies has compelled regulators worldwide to adapt to emerging advances, innovations, capabilities, and associated risks. This growth marks the dawn of a new era, emphasizing responsibility and accountability for businesses and users alike.

Report highlights: 

• The influence of EU law in Responsible AI
• A world of evolving regulation
• Regulatory approaches in Asia-Pacific and the UAE
• The practicalities of responsible Generative AI
• Regulatory compliance challenges
  

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Artificial intelligence (AI) is advancing at a remarkable pace, with Large Language Models driving new discussions around AI risks and safe usage. At the same time, governments worldwide are increasingly focusing on AI, introducing guidelines and legislation to promote responsible practices among developers and users alike.

This rapid evolution of AI technology, coupled with the changing regulatory landscape, underscores the urgency for businesses to adopt AI governance frameworks. But what does AI governance entail?

Report highlights:

• Understand the risk of using Generative AI
• Stay up to date with the latest regulations and guidelines
• Examine the pillars of AI governance
• Consider your companies case and factors that may affect your AI governance framework
• Choose an AI governance maturity level to aim for

In this report, we examine these 5 steps you can take to stay ahead of the curve in preparation for your AI journey.

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