The news, 365 days behind — on purpose Delayed live · replaying 2025

One Year Ago.AI

Remember how fast this is.

22FEB2024replayed
one year on
productGoogle · Alphabet · Prabhakar Raghavan · Sundar Pichai · Jack Krawczyk

Google pauses Gemini image generation after inaccurate historical depictions spark backlash

Google halts Gemini's people-image generation feature amid criticism over inaccurate historical images, including U.S. Founding Fathers depicted as people of color.

Google announced Thursday it is pausing image generation of people in its Gemini AI app after the tool produced historically inaccurate depictions, including U.S. Founding Fathers as people of color.

The company acknowledged the feature ‘missed the mark,’ saying its tuning to ensure a range of ethnicities ‘failed to account for cases that should clearly not show a range.’ Prabhakar Raghavan, Google’s senior vice president, wrote in a blog post that the model became ‘way more cautious than we intended,’ leading to ‘embarrassing and wrong’ outputs.

Jack Krawczyk, a senior director for Gemini, said the company’s image generation capabilities reflect its global user base but acknowledged that ‘Historical contexts have more nuance to them and we will further tune to accommodate that.’ The pause comes as Google races to catch up with Microsoft-backed OpenAI, which last week launched its text-to-video model Sora. The incident has reignited debate about how AI companies balance representation and historical accuracy.

P
Prabhakar Raghavan

SVP Prabhakar Raghavan acknowledged that tuning for diversity 'failed to account for cases that should clearly not show a range,' leading to 'embarrassing and wrong' images.

J
Jack Krawczyk

Senior director Jack Krawczyk said on X that the company takes representation and bias seriously and that 'Historical contexts have more nuance to them and we will further tune to accommodate that.'

One year later — open only if you can handle spoilers

Google eventually restored image generation of people in Gemini later in 2024 with more conservative tuning, but the episode became a case study in overcorrection for diversity. It also fueled ongoing political criticism of AI bias from both sides of the spectrum.

Replay thisPost on XRedditHNLinkedIn