Discover How AI Governance Can Power Innovation and Build Trust

The Responsible AI Summit Asia 2025 brings together C-level executives, policymakers, and thought leaders to tackle the most urgent issues in AI governance, ethics, compliance, and risk. This is not just about staying compliant—it’s about staying competitive.

Conference Highlights

• Enterprise AI Governance & Risk: Explore scalable governance frameworks that unlock innovation and ensure regulatory alignment.
• Generative AI & Sustainability: Dive into the ethics, risks, and carbon impact of GenAI—from auditability to green AI infrastructure.
• Human-Centered AI & Workforce Readiness: Address talent gaps, AI literacy, and job transformation with inclusive and ethical strategies.
• Sector Use Cases & Implementation: Learn how finance, HR, legal, and compliance teams are applying Responsible AI in real-world settings.
• Interactive Discussion Groups (IDGs): Join peer-led sessions tackling critical topics like AI audits, regulatory harmonization, ethics-by-design, and accountability ecosystems.

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The rapid adoption of Artificial Intelligence and Generative AI 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 rise of Generative AI is prompting regulators across Asia to develop new frameworks that address emerging risks, capabilities, and ethical concerns. This report provides a timely overview of how the region is shaping the future of AI governance. Inside, you’ll explore:

• How the ASEAN Responsible AI Roadmap is influencing national policies
• Key compliance and governance challenges for enterprises across Asia
• Cultural and legal complexities in implementing ethical AI at scale
• Practical strategies to embed Responsible AI into business and tech operations
• How to build the case for long-term investment in Responsible AI capabilities

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Get the ASEAN AI Regulatory Framework Report 2025

Discover how leading companies are aligning with ASEAN’s principles for responsible AI—from fairness and transparency to cross-border compliance. This report breaks down the 7 key pillars of the framework, national regulation snapshots, and practical steps to future-proof your AI strategy.

📥 Download the report now to stay ahead in ethical AI adoption.

📘 Agentic AI in Asia: Scaling Autonomy with Governance and Cultural Intelligence

Discover how enterprises in Asia are adopting agentic AI—AI that acts independently—while ensuring responsible governance, explainability, and cultural alignment. This report outlines 5 key principles to help organizations scale AI systems that are both effective and accountable across diverse regulatory environments.

📥 Download the report now to design trustworthy AI strategies for Asia’s complex landscape.

Find out who will be attending Responsible AI Summit Asia 2025 - including the companies and job titles. Download the list to see the full overview.

• The influence of EU law on Responsible AI
• Regulatory approaches in Asia-Pacific and the UAE
• The practicalities of responsible Generative AI
• Regulatory compliance challenges
• Making a business case for Responsible AI investment

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Artificial intelligence (AI) continues to evolve at an astonishing pace, with Large Language Models now leading new discourse about AI risk and safe usage. Meanwhile, governments worldwide are taking more interest in AI and are introducing guidance documents and legislation to encourage responsible use by both developers and end-users.

The rapid developments in AI technology and the regulatory landscape highlight the pressing need for businesses to consider implementing AI governance frameworks.

But what exactly is AI governance?

AI governance broadly refers to the processes and safety measures an organisation can put in place when deploying and engaging with AI. These measures will help organisations maintain an ethical posture, by enabling companies to better manage, audit and observe the data inputs and outputs of AI technology.

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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