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Sección 1
Antes de empezar
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Sección 2
¿Cuándo tiene sentido aplicar la IA?
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Sección 3
Riesgos de aplicarla incorrectamente
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Sección 4
Proceso de definición de casos de uso
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Sección 5
Bibliografía
5 Bibliografía
- World Economic Forum. How Companies Can Mitigate AI’s Growing Environmental Footprint.
https://www.weforum.org/stories/2025/06/how-ai-use-impacts-the-environment/ - World Economic Forum. How AI Can Speed Climate Action.
https://www.weforum.org/agenda/archive/climate-change/ - BCG. From Potential to Profit: Closing the AI Impact Gap.
https://www.bcg.com/publications/2025/closing-the-ai-impact-gap - Columbia Climate School. Landscape Assessment of AI for Climate & Nature.
https://www.climate.columbia.edu/ai-climate-nature-landscape-assessment - BCG. Accelerating Climate Action with AI. bcg-accelerating-climate-action-with-ai-nov-2023-rev.pdf
- European Union (2024). Artificial Intelligence Act (AI Act).
https://eur-lex.europa.eu/eli/reg/2024/1684/oj - European Union (2022). Corporate Sustainability Reporting Directive (CSRD) – Directive (EU) 2022/2464.
https://eur-lex.europa.eu/eli/dir/2022/2464/oj - European Union (2023). Energy Efficiency Directive (EED).
https://eur-lex.europa.eu/eli/dir/2023/1791/oj - European Commission – JRC (2024). 2024 Best Practice Guidelines for the EU Code of Conduct on Data Centre Energy Efficiency.
https://e3p.jrc.ec.europa.eu/publications/2024-best-practice-guidelines-eu-code-conduct-data-centre-energy-efficiency - European Commission (2019). Ethics Guidelines for Trustworthy AI.
https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai - European Commission (2020). Assessment List for Trustworthy AI (ALTAI).
https://digital-strategy.ec.europa.eu/en/library/assessment-list-trustworthy-artificial-intelligence-altai-self-assessment - *GDPR – Regulation (EU) 2016/679.
https://eur-lex.europa.eu/eli/reg/2016/679/oj - NIST (2023). AI Risk Management Framework (AI RMF 1.0).
https://www.nist.gov/itl/ai-risk-management-framework - ISO/IEC (2023). ISO/IEC 42001 – Artificial Intelligence Management System.
https://www.iso.org/standard/81230.html - OECD (2019). Artificial Intelligence in Society.
https://www.oecd.org/content/dam/oecd/en/publications/reports/2019/06/artificial-intelligence-in-society_c0054fa1/eedfee77-en.pdf - OECD (2024). AI, Data Governance and Privacy.
https://www.oecd.org/content/dam/oecd/en/publications/reports/2024/06/ai-data-governance-and-privacy_2ac13a42/2476b1a4-en.pdf - ENISA (2021). Multilayer Framework for Good Cybersecurity Practices for AI.
https://www.enisa.europa.eu/publications/multilayer-framework-for-good-cybersecurity-practices-for-ai - WEF (2025). Artificial Intelligence and Cybersecurity: Balancing Risks and Rewards.
WEF_Artificial_Intelligence_and_Cybersecurity_Balancing_Risks_and_Rewards_2025.pdf - Stanford HAI (2025). AI Index Report 2025 – AI Incidents and Risks.
https://aiindex.stanford.edu/report/ - Nature (2024). Trust in AI: progress, challenges, and future directions.
https://www.nature.com/articles/s41599-024-04044-8 - PMI. PMBOK® Guide.
https://www.pmi.org/pmbok-guide-standards - ECLAC. Methodology of the Logical Framework.
https://www.cepal.org/es/publicaciones/9942-metodologia-marco-logico - MIT Sloan Management Review (2023). How to Find the Right Business Use Cases for Generative AI.
https://mitsloan.mit.edu/ideas-made-to-matter/how-to-find-right-business-use-cases-generative-ai - McKinsey & Company (2023). The State of AI in 2023.
https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year