Ethical AI explained: bias & privacy in multimodal training

Ethical AI explained: bias & privacy in multimodal training

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Can better AI come with bigger ethical risks? 🤔

In this 60-second Video Pill, ATEXIS Innovation expert Jesús Ortega breaks down how training AI with multiple data sources (text, images, audio and more) can boost performance—while raising new challenges around bias, privacy and responsibility.

What you’ll learn in 1 minute:

– Why multimodal AI can “learn” hidden bias from data

– How combining datasets can increase privacy risks

– What “responsible AI” looks like in practice (not just on slides)

At ATEXIS, we design AI solutions with privacy and fairness in mind—prioritizing strict data handling and controlled deployment environments to balance innovation with responsibility.

If you’re building, buying, or using AI at work, this is the question to keep close: Are your models powerful… and trustworthy?

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