Uploaded August 2026 | Updated September 2026, 3 weeks ago
Inviting AI to play a leading role in the match game of contextual advertising raises a number of red flags, and one of the most concerning is the built-in bias in the way that LLMs are trained. As Digital Culture Group’s Crystal Foote points out, “A lot of adtech companies just aren’t that diverse,” and that can leave significant blind spots and “stereotypical insights” that find their way into AI models that manifest themselves in ad decisions. Foote, Sargeway’s Sarge Sargent, and Dataxis’ Ophelie Boucaud discuss what Sargent calls “bias toxicity” and its implications for AI-powered scene analysis, contextual advertising, and audience representation in this clip from Streaming Media Connect 2026.
Inviting AI to play a leading role in the match game of contextual advertising raises a number of red flags, and one of the most concerning is the built-in bias in the way that LLMs are trained. As Digital Culture Group’s Crystal Foote points out, “A lot of adtech companies just aren’t that diverse,” and that can leave significant blind spots and “stereotypical insights” that find their way into AI models that manifest themselves in ad decisions. Foote, Sargeway’s Sarge Sargent, and Dataxis’ Ophelie Boucaud discuss what Sargent calls “bias toxicity” and its implications for AI-powered scene analysis, contextual advertising, and audience representation in this clip from Streaming Media Connect 2026.
