In a recent interview with NextTech Today with Khushbu Raval, Rana Gujral, CEO of Behavioral Signals and member of the Global AI Council, discussed the integration of behavioral science with AI to enhance deepfake speech detection. He emphasized that analyzing subtle human cues – such as voice tone, pitch, and speech patterns – can identify inconsistencies that AI-generated content often fails to replicate, thereby improving detection accuracy.

Gujral also addressed ethical concerns, highlighting the importance of transparency in AI model training and data usage to prevent privacy violations and biases. He advocated for clear guidelines and human oversight to ensure responsible AI deployment. Additionally, he noted regional differences in AI adoption and regulation, emphasizing the need for global collaboration to balance innovation with ethical considerations.

A key focus of the discussion was the importance of global collaboration in advancing AI. Gujral pointed out regional differences in AI adoption and regulation, advocating for unified efforts to ensure ethical, inclusive, and scalable AI solutions. His vision aligns with the broader goal of using AI to not only enhance digital interactions but also combat misinformation effectively.

Looking ahead, Gujral identified emerging technologies – such as advanced machine learning models, AI-powered emotion recognition, and sophisticated natural language processingas pivotal in shaping behavioral science and deepfake detection. He expressed optimism that these advancements will enhance our understanding of human behavior in digital interactions and aid in combating misinformation, ultimately rebuilding public trust in digital content.

Read the full interview, Cracking the Code on Deepfake Speech Detection