The rise of Gen AI has put organizations in a race to remain competitive. Those who are successfully integrating AI into their processes are seeing improvements in efficiency and output quality, but that rush to adopt AI carries some significant risks, ones that can spell disaster for companies if they are not careful about their approach to using AI.  

 We've invited May Winfield, Global Director of Commercial, Legal and Digital Risks, at Buro Happold, to reveal what some of the biggest risks are when using Gen AI, what questions organizations should be asking as they adopt AI, and why sometimes the best way to move quickly is to slow down. 

We discuss: 

• Identifying AI’s five biggest risk categories in AEC: reliance, confidentiality, copyright, personal data, and ethics 
• Why copyright and content attribution are such tricky issues with AI 
• The limitations of using in-house AI models trained on proprietary data 
• Why client requests are becoming more informed and specific (and why this is good!) 

Assets Mentioned: 

• Joint Study from the Harvard Business School & Boston Consulting Group  

Digital Builder is hosted by Eric Thomas of Autodesk.