Italy regulator probes DeepSeek over false info risk

Italy’s regulator AGCM has opened an investigation into the Chinese AI startup DeepSeek for allegedly failing to warn users about the risks of generating false information.

The regulator indicated that DeepSeek did not provide clear warnings about inaccuracies.

The AI system may produce misleading or fabricated outputs.

DeepSeek has not yet responded to the investigation.

🔗 Source: Reuters

🧠 Food for thought

1️⃣ Regulators worldwide are repurposing existing laws to govern AI risks

Italy’s action against DeepSeek reflects a global pattern of authorities using established regulatory frameworks to address AI concerns while comprehensive AI-specific legislation develops.

The FTC in the US has similarly issued guidance to companies about avoiding “AI washing” (exaggerating AI capabilities) and has already imposed significant penalties, including a $400,000 settlement with investment advisors for misleading AI claims 1.

This patchwork approach creates a fragmented regulatory landscape across jurisdictions, with the EU moving toward structured oversight through the AI Act while the US currently lacks comprehensive federal AI regulations 2.

Consumer protection agencies are emerging as frontline regulators for AI transparency issues, reflecting the 72% of Americans who express serious concerns about AI technologies, particularly regarding privacy and algorithmic biases 3.

Companies operating globally face the challenge of navigating these inconsistent regulatory standards, with each jurisdiction adopting different approaches to AI oversight. This creates compliance challenges that could impact innovation and market entry.

2️⃣ AI hallucinations represent a concrete regulatory focus amid broader concerns

The Italian regulator’s specific focus on AI hallucinations (systems generating false information) represents a tangible regulatory concern that’s easier to address than more abstract AI risks.

A Capgemini study found that 73% of consumers trust content generated by AI despite significant expert warnings about reliability issues, creating a dangerous gap between public perception and technical reality 4.

This misalignment between consumer trust and actual AI limitations creates fertile ground for consumer protection regulations, as authorities seek to ensure users understand the limitations of the technology they’re using.