The AI landscape is evolving rapidly, but ensuring reliability, quality, and ethical integrity remains a challenge. Existing frameworks often lack a unified, participatory approach—until now. This is where Z-Inspection® comes in. 𝐀 𝐡𝐮𝐦𝐚𝐧-𝐜𝐞𝐧𝐭𝐞𝐫𝐞𝐝 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐚𝐬 𝐚 𝐩𝐚𝐫𝐭𝐢𝐜𝐢𝐩𝐚𝐭𝐨𝐫𝐲, 𝐡𝐮𝐦𝐚𝐧-𝐜𝐞𝐧𝐭𝐞𝐫𝐞𝐝 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐟𝐨𝐫 𝐚𝐬𝐬𝐞𝐬𝐬𝐢𝐧𝐠 𝐚𝐧𝐝 𝐜𝐨𝐝𝐞𝐬𝐢𝐠𝐧𝐢𝐧𝐠 𝐭𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐲 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐨𝐮𝐭 𝐭𝐡𝐞𝐢𝐫 𝐥𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞. Z-Inspection® Initiative and Trustworthy AI Labs. The current landscape of assuring AI reliability and quality is fragmented, with existing frameworks often lacking a unified methodology for comprehensive evaluation, particularly in integrating ethical and human rights considerations.

This article introduces the Z-Inspection® process as a participatory, human-centered approach for assessing and codesigning trustworthy AI systems throughout their lifecycle. By forming multi-disciplinary teams and utilizing sociotechnical scenarios, Z-Inspection® enables the exploration of ethical dilemmas and risks in context, fostering a shared understanding among stakeholders. This methodology aligns with the European AI Act’s emphasis on human-centric technology and addresses limitations in existing standards by incorporating continuous ethical reflection and adaptability.

We demonstrate how the co-design aspect of Z-Inspection® facilitates proactive risk identification, transparency, and alignment with regulatory requirements. This approach advances beyond traditional static checklists, offering a dynamic framework that intrinsically weaves ethical considerations into AI development, thereby ensuring that AI technologies are not only technically robust but also ethically sound, socially beneficial, aligned with human values, and legally compliant. Trustworthy AI is not an afterthought or technical hindrance but a way to promote a mindful use of AI.

In MANOLO, we have employed this method to understand the AI components and system architecture that the project will deliver. We integrate desk research to anticipate dependencies and risks that may later become concerns or dilemmas. 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐢𝐬 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡, 𝐰𝐞 𝐚𝐢𝐦 𝐭𝐨 𝐛𝐫𝐢𝐝𝐠𝐞 𝐭𝐡𝐞 𝐠𝐚𝐩 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐭𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐜𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐚𝐧𝐝 𝐩𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬.

Mindful use of AI: A practical approach by MANOLO partners teams:
Magnus Westerlund, Principal Lecturer in Information Technology and Director of the Laboratory for Trustworthy AI, Arcada University of Applied Sciences, Helsinki, Finland
Elisabeth Hildt, Affiliated Professor, Arcada University of Applied Sciences, Helsinki, Finland, and Professor of Philosophy and Director of the Center for the Study of Ethics in the Professions, Illinois Institute of Technology, Chicago, USA
Apostolos Tsolakis , Senior Project Manager, Q-PLAN International Advisors PC, Thessaloniki, Greece
Roberto V. Zicari, Affiliated Professor, Arcada University of Applied Sciences, Helsinki, Finland.

THE CAPCO INSTITUTE JOURNAL OF FINANCIAL TRANSFORMATION. Read the article here: Journal #60: GenAI

🌟 “𝑻𝒓𝒖𝒔𝒕𝒘𝒐𝒓𝒕𝒉𝒚 𝑨𝑰 𝒊𝒔 𝒏𝒐𝒕 𝒂𝒏 𝒂𝒇𝒕𝒆𝒓𝒕𝒉𝒐𝒖𝒈𝒉𝒕 𝒐𝒓 𝒕𝒆𝒄𝒉𝒏𝒊𝒄𝒂𝒍 𝒉𝒊𝒏𝒅𝒓𝒂𝒏𝒄𝒆 𝒃𝒖𝒕 𝒂 𝒘𝒂𝒚 𝒕𝒐 𝒑𝒓𝒐𝒎𝒐𝒕𝒆 𝒂 𝒎𝒊𝒏𝒅𝒇𝒖𝒍 𝒖𝒔𝒆 𝒐𝒇 𝑨𝑰.” 🌟