The rapid rise of AI and GenAI has captured global business interest—but many organizations have rushed in without managing the risks. This has led to poor ROI, eroded trust, and high-profile failures like bias and data breaches. According to Accenture, 56% of Fortune 500 companies now cite AI as a risk—up from 9% last year—and 74% have paused at least one AI project due to unexpected issues.
AI-related incidents have surged 32% in two years and 20x since 2013. Looking ahead, 91% of companies expect more incidents, with nearly half bracing for a major failure within 12 months—potentially slashing enterprise value by 30%. Now’s the time to get ahead of AI risks.
✅ The Responsible AI Landscape – Key risks by region, emerging trends, and industry impact.
✅ Global AI Regulations – A breakdown of evolving policies, compliance requirements, and upcoming legislation across the EU, U.S., and beyond.
✅ AI vs. AI Risks – How AI is being used to combat threats like fraud, misinformation, and cybersecurity vulnerabilities.
✅ Enterprise AI Security – Real-world examples of AI system attacks and strategies to strengthen defenses.
✅ Challenges in Ethical AI – Measuring responsible AI performance, overcoming resource constraints, and refining evaluation methods.
✅ Public Sentiment on AI – Insights into AI awareness, trust in AI-generated content, and workforce implications. Stay Ahead of the Curve, Don’t let AI risks hinder your organization’s success.
Download the full report today and equip your business with the insights needed to navigate the AI landscape securely and strategically >>>