What are the potential risks and limitations of generative AI, and how can they be mitigated?

As generative AI continues to revolutionize industries, it’s crucial to understand both its potential and its pitfalls. While this technology offers unprecedented capabilities, it also brings significant risks and limitations that demand careful consideration. According to a recent McKinsey survey, 65% of organizations are now regularly using generative AI, nearly double the percentage from just ten months ago. This rapid adoption underscores the urgency of addressing the technology’s challenges.

To shed light on this critical topic, we’ve invited Dror Gill, a renowned Generative AI Evangelist and Emmy® Award winner, to share his insights. With over 30 years of experience in technology and as the co-inventor of 37 granted patents, Dror brings a wealth of knowledge to the discussion. Let’s explore his perspective on the potential risks and limitations of generative AI, and the strategies to mitigate them.

Dror Gill

Dror Gill, a Generative AI Evangelist and Emmy® Award winner with over 30 years of technology experience addresses the potential risks and limitations of generative AI and how they can be mitigated. He states, “Currently the main risk of generative AI is loss of trust,” highlighting the ability to create highly realistic deepfake videos and voice recordings for financial scams and extortion.

To mitigate these risks, Gill emphasizes education as a primary strategy. He suggests that increasing awareness of generative AI’s capabilities will help people become more sceptical of unverified sources. Gill recommends establishing secret words with family members and coworkers for use in voice and video calls to verify authenticity.

Another significant risk Gill identifies is job loss, particularly in lower-paid white-collar positions such as translation, writing, and customer support. To address this, he advocates for upskilling the workforce: “The primary way to mitigate this risk is upscaling the workforce, teaching individuals how to utilize generative AI tools to maintain their relevance in the job market.”

As generative AI continues to evolve, more expert perspectives will be crucial in navigating its challenges. Event planners and decision-makers should prioritize educating their teams on generative AI risks and opportunities to stay ahead in this rapidly changing landscape.