Trustworthiness: Restoring Public Faith in a Deep-fake Era

Trustworthiness: Restoring Public Faith in a Deep-fake Era

Trust in digital content is at an all-time low. In 2024, over 23,000 deep-fake videos were reported across media platforms, up 800% from 2021. Many targeted public figures, journalists, and women—fueling disinformation, harassment, and confusion.

That’s why media organizations like the European Broadcasting Union (EBU) and WAN-IFRA are demanding developers embed watermarking, audit trails, and fact-checking protocols in generative AI tools.

AI doesn’t just create content—it shapes belief.

In a global survey by Edelman, 61% of respondents said they don’t know whether AI-generated content is real or fake, and 53% fear it will be used to manipulate elections.

The battle for trust won’t be won with code alone—it needs transparency, accountability, and empathy. Not just explainable AI, but understandable and accountable AI.

Contributor:

Nishkam Batta

Nishkam Batta

Editor-in-Chief – HonestAI Magazine
AI consultant – GrayCyan AI Solutions

Nish specializes in helping mid-size American and Canadian companies assess AI gaps and build AI strategies to help accelerate AI adoption. He also helps developing custom AI solutions and models at GrayCyan. Nish runs a program for founders to validate their App ideas and go from concept to buzz-worthy launches with traction, reach, and ROI.

Contributor:

Nishkam Batta

Nishkam Batta
Editor-in-Chief - HonestAI Magazine AI consultant - GrayCyan AI Solutions

Nish specializes in helping mid-size American and Canadian companies assess AI gaps and build AI strategies to help accelerate AI adoption. He also helps developing custom AI solutions and models at GrayCyan. Nish runs a program for founders to validate their App ideas and go from concept to buzz-worthy launches with traction, reach, and ROI.

Scroll to Top