AI ethics researcher and governance expert Fabrizio Degni has introduced the PALO (Principled AI Lifecycle Orchestration) framework, a governance model designed to help organizations operationalize responsible artificial intelligence across the full AI lifecycle. The framework aims to translate ethical principles into measurable governance practices at a time when global conversations around AI accountability, transparency, and regulatory oversight are intensifying.
The worldwide discussion about AI is getting louder and louder, and Fabrizio Degni is positioned right at the crossroads of morality, administration, and technology, being one of the foremost opinion makers who influence the responsible march of AI towards a human-centered digital future. Guided by the principle, “Ask not if it can be done, nor how, but only if it should be done,” he advocates an approach in which technological advancement is always accompanied by transparency, accountability and integrity.
Degni's thoughts go much further than machines and data. He is the Chief AI Officer, AI Ethics and Governance Researcher, and President of the Italy Chapter for the Global Council for Responsible AI. His advanced credentials include ISO 42001:2023 AI System Management and ISO 9001 certifications, as well as designation as a Certified AI Ethics & Governance Professional (CAEGP). He is also an official member of the IEEE Standards Association (IEEE SA), contributing to multiple working groups, including P3474, P2834.1, P3454, the Data Privacy Process Standard, and P7014.1. Degni is also a member of UNINFO’s AI Working Group UNINFO AI UNI/CT 533. The newly introduced PALO framework reflects Degni’s broader effort to bridge the gap between high-level ethical principles and operational governance within organizations adopting AI technologies.
Operationalizing Responsible AI Through the PALO Framework
The PALO (Principled AI Lifecycle Orchestration) framework is Fabrizio Degni’s evidence-driven approach to Responsible AI governance, designed to embed accountability throughout the entire AI lifecycle. Instead of relying on isolated compliance reviews or static ethical guidelines,PALO integrates governance into each stage of AI development and deployment, including ideation, development, deployment, monitoring, and eventual system decommissioning.
The framework evaluates AI systems through five core dimensions:
- Ethical integrity
- Technical robustness and safety
- Business value
- Legal and regulatory compliance
- Socio-environmental impact
PALO emphasizes measurable governance indicators, including bias detection scores, audit-trail coverage, harmful-output rates, and energy-per-query metrics. These measurable indicators are intended to help organizations align AI systems with emerging global governance standards, including ISO frameworks, OECD guidance, NIST principles, and the EU AI Act and ISO 42001:2023 AI Management Systems. Anchored in Degni’s philosophy that “what you can’t measure, you can’t improve,” the framework is designed to provide organizations with a continuous governance architecture intended to support transparent and accountable AI deployment.
Industry Engagement and Global Dialogue on Responsible AI
Fabrizio Degni has also contributed to the broader international conversation surrounding AI governance through several major industry events. He recently served as the Opening Keynote Speaker at theIDC AI Summit in Milan, one of Europe’s gatherings focused on digital transformation and emerging technologies. His speech examined ethical and social considerations surrounding the use of artificial intelligence, including cognitive bias, decision-making offloading, human-machine trust, and cultural changes driven by algorithmic systems.
Degni also participated as a speaker at the IEEE Digital Privacy Symposium on Privacy Expectations (ISOPE) 2025 in New York City, where he introduced the Dynamic Digital Privacy (DDP) framework, an adaptive governance model intended to address privacy challenges in AI-driven data environments. During the presentation, Degni examined the limitations of static privacy regulations and discussed the need for governance models capable of adapting to emerging technological risks such as deepfakes, AI inference attacks, brain-computer interfaces, and potential quantum computing threats.
Recognition for Contributions to Ethical AI
Degni’s work in responsible AI governance was also recognized at the AI Awards Italy 2025, where he received the Premio per l’Impegno Etico nella Cultura Algoritmica (Award for Ethical Commitment in Algorithmic Culture). The award acknowledges his contributions to promoting transparency in algorithmic systems and advancing public awareness of AI ethics. According to the organizers, the recognition reflects Degni’s efforts to encourage fairness in data-driven models, ethical oversight in AI systems, and broader public understanding of algorithmic accountability.
Ongoing Work in International AI Governance
Degni remains active in international AI governance initiatives. As President of the Italy Chapter of the Global Council for Responsible AI, he contributes to a network of more than 500 members across 71 countries working to advance responsible AI governance and policy dialogue. He also recently served as a panelist at AIFOD 2025 at the United Nations Palaces in Vienna, speaking during the “Data Quality” session about the role of transparency, accuracy, and accountability in managing modern data systems.
Research Contributions
In addition to his governance work, Degni contributes to academic and interdisciplinary research on AI ethics and digital identity. His research paper “The Afterlife in the Age of AI: A Psychological, Ethical, and Technological Analysis” (2025) explores how emerging technologies are reshaping discussions around digital identity, memory, and ethical boundaries in AI-mediated environments. Degni continues to publish work through academic platforms, including ResearchGate, where his research focuses on AI governance frameworks, sociotechnical systems, and ethical oversight mechanisms.
Education and Professional Development
A lifelong learner, Degni holds the AI CERTs™ AI+ Executive Certification (score 90/100, May 2025) along with advanced certifications from Stanford University, edX, Copenhagen Business School, Microsoft, and Politecnico di Milano. His professional qualifications, including ISO 42001:2023 AI System Management and ISO 9001 certifications, support his designation as a Certified AI Ethics & Governance Professional (CAEGP). Reflecting on the role of ethics in emerging technologies, Degni stated: “AI has to show our common values and not replace them. The future of AI is not only about what machines can do, but also about the values that humanity chooses to uphold.”
About Fabrizio Degni
Fabrizio Degni is Chief AI Officer, AI Ethics and Governance Researcher, and President of the Italy Chapter for the Global Council for Responsible AI. His credentials include ISO 42001:2023 AI System Management and ISO 9001 certifications and designation as a Certified AI Ethics & Governance Professional (CAEGP). He works at Webuild and is enrolled in the Politecnico di Milano (POLIMI) Executive MBA, while also pursuing a Doctorate in Computer Science at EIMT. In recognition of his contributions to responsible AI and ethical innovation, Fabrizio Degni joined the Scientific Committee of the Human Economic Forum. He is a member of the IEEE Standards Association (IEEE SA), contributing to working groups including P3474 (H.I. AI Alignment in Autonomous Driving Agents), P2834.1 (Digital Forensics on Trusted Learning Systems), P3454 (Cloud Computing — Operational Resilience), the Data Privacy Process Standard, and P7014.1 (Ethical Design of Autonomous and Intelligent Systems). Degni is also a member of UNINFO’s AI Working Group (UNINFO AI UNI/CT 533) and is internationally recognized for his work advancing responsible and human-centered artificial intelligence governance. For more information, follow on LinkedIn.
Media Contact
Fabrizio Degni
Global Council for Responsible AI
sev7en@gmail.com