Jaymin Kim
Senior Vice President, Cyber Risk Practice
Generative AI is a form of artificial intelligence that focuses on creating new and original content, such as images, text, and music. It uses deep learning algorithms to generate (perceived) realistic and creative outputs based on patterns and examples from large datasets.
For businesses, generative AI can be a powerful tool for unlocking opportunity and driving innovation through automated content creation, enhanced personalisation, operational efficiencies, and more. However, as with most innovations and resulting opportunities, there are associated risks. These include the potential for biased or inappropriate outputs, intellectual property violations, and ethical considerations. Furthermore, according to the World Economic Forum’s Global Risks Report, AI-generated misinformation and disinformation is the most significant risk that organisations will face over the next two years.
Optimising the technological and business opportunities from generative AI means balancing potential risk and reward — and Marsh can help. We can empower your business to make — and act on — more informed, confident investments in generative AI.
Marsh has developed a comprehensive risk and insurance framework to help organisations like yours understand, mitigate, and transfer the risks associated with generative AI as part of your overall enterprise risk management.
The framework includes “need to know” sessions, tailored risk scenario analyses, and liability assessments conducted by our experienced team of specialists.
The overall assessment encompasses three critical components necessary to enhance generative AI resilience: process, people, and technical controls.
Senior Vice President, Cyber Risk Practice
Managing Director, Head Emerging Risks Group, Marsh