Bibliografia

Askell, A., Carlsmith, J., Olah, C., Kaplan, J., Karnofsky, H., et al. (2026) Claude's Constitution. Anthropic.
Engin, Z. (2026) Human-AI governance (HAIG): A trust-utility approach. Journal of Responsible Technology, 26, Artigo 100167
Galdon Clavell, G. (2023) Checklist for AI auditing (Support Pool of Experts Programme). European Data Protection Board (EDP
Golpayegani, D., Hupont, I., Panigutti, C., Pandit, H. J., Schade, S., O'Sullivan, D., & Lewis, D. (2024) AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act. In M. Jensen et al. (Eds.), APF 2024 (LNCS 14831, pp. 48–72). Springer
Hoffmann, M., & Frase, H. (2023 (2023) Adding Structure to AI Harm: An Introduction to CSET's AI Harm Framework. Center for Security and Emerging Technology (CSET
Raji, I. D., Smart, A., White, R. N., Mitchell, M., Gebru, T., Hutchinson, B., Smith-Loud, J., Theron, D., & Barnes, P (2020) Closing the AI accountability gap: Defining an end-to-end framework for internal algorithmic auditing.
U.S. Government Accountability Office (GAO) (2021) Artificial Intelligence: An Accountability Framework for Federal Agencies and Other Entities
OWASP (2025) OWASP Top 10 For Agentic Applications 2026. OWASP Gen AI Security Project - Agentic Security Initiative

Leslie, D., Rincón, C., Briggs, M., Perini, A., Jayadeva, S., Borda, A., Bennett, SJ., Burr, C., Hadjiloizou, S., & Fischer, C. (2024) AI Accountability in Practice. The Alan Turing Institute.