Long before artificial intelligence existed, humans were already telling stories about artificial beings escaping from their creators. The Golem, Prometheus, Frankenstein, and later the machines of R.U.R. or HAL in 2001: A Space Odyssey all touch on some version of this fear.
Coeckelbergh’s reading of Frankenstein puts the responsibility of the creator into focus. Victor Frankenstein creates something powerful, then fails to take responsibility for what follows.
We’re delegating more and more to systems - from recommendations and predictions to analysis and even parts of decision-making. But responsibility can’t be delegated in the same way. It has to stay with us.
Since 2 August 2026, the EU AI Act requires certain AI systems to make clear when people are interacting with AI or encountering AI-generated content. For high-risk systems, it also requires human oversight, including the ability to intervene and override outputs.
𝐀𝐑𝐄𝐒 𝐀𝐈 is being developed inside the same SourceLess framework: user ownership, privacy, data minimisation, no exploitative use of personal data, and clear principles around transparency and accountability.
ARES can retrieve information, analyse data, generate content, automate repetitive tasks and guide users through SourceLess workflows.
That shift deserves a deeper look, because once AI starts doing more than replying, responsibility gets harder to pin down.
Our new piece, 𝐅𝐫𝐨𝐦 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 𝐭𝐨 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: 𝐖𝐡𝐨 𝐈𝐬 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐥𝐞 𝐖𝐡𝐞𝐧 𝐀𝐈 𝐒𝐭𝐚𝐫𝐭𝐬 𝐀𝐜𝐭𝐢𝐧𝐠?, looks at what changes once systems stop waiting for prompts and begin carrying out tasks with increasing autonomy.
If a system writes, routes, documents, approves, or acts inside a workflow, who answers for the error when something goes wrong?
This article is part of our wider SourceLess AI editorial series, where we look beyond demos, headlines, and launch framing and stay with what happens once these systems enter real workflows and everyday digital life.