𝐓𝐡𝐞 𝐈𝐫𝐫𝐞𝐝𝐮𝐜𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐨𝐟 𝐭𝐡𝐞 𝐓𝐡𝐢𝐧𝐤𝐢𝐧𝐠 𝐒𝐮𝐛𝐣𝐞𝐜𝐭: 𝐄𝐩𝐢𝐬𝐭𝐞𝐦𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥, 𝐍𝐞𝐮𝐫𝐨𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞, 𝐚𝐧𝐝 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐋𝐢𝐦𝐢𝐭𝐬 𝐭𝐨 𝐭𝐡𝐞 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧 𝐨𝐟 𝐇𝐮𝐦𝐚𝐧 𝐒𝐮𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐛𝐲 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞

In the paper presented at the 𝐂𝐄𝐈𝐈 𝟐𝟎𝟐𝟓 𝐜𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞, alongside my colleague 𝐁𝐞𝐚𝐭𝐫𝐢𝐜𝐞 𝐒𝐞𝐜𝐜𝐨𝐦𝐚𝐧𝐝𝐢, we explain why the human mind remains irreducible to algorithms, highlighting two insurmountable limits.

The first is a 𝐧𝐞𝐮𝐫𝐨𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐥𝐢𝐦𝐢𝐭: AI relies on statistical models and, despite being able to decode brain signals, it encounters a profound Semantic Gap. The machine remains structurally incapable of comprehending subjective experience (qualia), the autobiographical context, and the true emotions that give meaning to our thoughts.

The second is an 𝐞𝐭𝐡𝐢𝐜𝐚𝐥 𝐥𝐢𝐦𝐢𝐭: the unpredictability of our mind is not a variable to be solved, but the very essence of our autonomy. Neuro-rights demand the absolute defense of mental privacy against any attempt to reduce us to a predictable pattern.

Our study concludes that the “𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐨𝐧” of subjective content is not only epistemologically unattainable for machines, but also ethically impermissible, as it risks compromising the foundations of our free will and human dignity.”

 

LINK: https://ieeexplore.ieee.org/document/11606186

 

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