I am pleased to announce that today, in collaboration with Filippo Sanfilippo and Beatrice Seccomandi, we presented our latest research at the 𝟑𝐫𝐝 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐨𝐧 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐟𝐨𝐫 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 (𝐈𝐓𝐄𝐀 𝟐𝟎𝟐𝟔). Both contributions have been accepted for publication in the upcoming proceedings by 𝐒𝐩𝐫𝐢𝐧𝐠𝐞𝐫 𝐍𝐚𝐭𝐮𝐫𝐞.

Our research addresses two critical frontiers at the intersection of Artificial Intelligence, cognitive science, and inclusive education:
“𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐯𝐞 𝐞𝐩𝐢𝐬𝐭𝐞𝐦𝐢𝐜 𝐞𝐧𝐭𝐫𝐨𝐩𝐲: 𝐓𝐡𝐞 𝐈𝐬𝐨𝐦𝐨𝐫𝐩𝐡𝐢𝐜 𝐂𝐨𝐧𝐯𝐞𝐫𝐠𝐞𝐧𝐜𝐞 𝐁𝐞𝐭𝐰𝐞𝐞𝐧 𝐒𝐲𝐧𝐭𝐡𝐞𝐭𝐢𝐜 𝐌𝐨𝐝𝐞𝐥 𝐂𝐨𝐥𝐥𝐚𝐩𝐬𝐞 𝐚𝐧𝐝 𝐂𝐨𝐠𝐧𝐢𝐭𝐢𝐯𝐞 𝐀𝐭𝐫𝐨𝐩𝐡𝐲 𝐢𝐧 𝐭𝐡𝐞 𝐅𝐢𝐟𝐭𝐡 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐃𝐨𝐦𝐚𝐢𝐧”This paper explores the systemic risks associated with recursive data loops in AI. We analyze the isomorphism between “model collapse” in synthetic architectures and the potential for cognitive atrophy in human subjects, proposing a theoretical framework to safeguard epistemic sovereignty within the complex landscape of the fifth operational domain.

“𝐀𝐈, 𝐍𝐞𝐮𝐫𝐨𝐝𝐢𝐯𝐞𝐫𝐠𝐞𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭: 𝐎𝐯𝐞𝐫𝐜𝐨𝐦𝐢𝐧𝐠 𝐖𝐞𝐜𝐡𝐬𝐥𝐞𝐫 𝐋𝐢𝐦𝐢𝐭𝐬 𝐟𝐨𝐫 𝐇𝐢𝐠𝐡-𝐀𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐓𝐰𝐢𝐜𝐞-𝐄𝐱𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐚𝐥 𝐋𝐞𝐚𝐫𝐧𝐞𝐫𝐬 ” Our second study challenges the traditional psychometric constraints of Wechsler scales. By leveraging Intelligent Technology, we propose a more granular approach to educational assessment, designed to accurately identify and support the unique cognitive profiles of high-ability and twice-exceptional (2e) learners who are often marginalized by standard testing limitations.

It is a privilege to contribute to the global academic dialogue on how intelligent systems can both challenge and enhance human potential.