Principales recursos online sobre ética en inteligencia artificial

Discover the leading online resources on artificial intelligence ethics, covering fundamental principles such as proportionality, non-maleficence, and data protection. This essential guide explores courses, certifications, and AI governance frameworks, offering a comprehensive overview for professionals and enthusiasts. Delve into the world of responsible AI, data privacy, and multi-stakeholder collaboration for fair and secure technological development. Find the best platforms to educate yourself and stay current in this crucial field.

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  1. 1

    Credo AI

    340 Global Votes
    • Leading AI governance platform

      (+4)

    Credo AI provides a comprehensive platform for AI governance, risk, and compliance, enabling organizations to build and scale AI with the highest ethical standards. Its focus on operationalizing responsible AI and mitigating risks makes it an essential tool for ethics in artificial intelligence.

  2. 2

    UNESCO Recommendation on the Ethics of Artificial Intelligence

    0 Global Votes
    • First global standard-setting instrument for ethical AI

      (+4)

    This document is the first global standard on AI ethics, providing a foundational framework for the responsible development and use of artificial intelligence. It establishes key principles such as human rights protection, transparency, and non-discrimination, making it an essential guide for any resource on the subject.

  3. 3

    Certificate in AI Ethics and Governance online with LSBR

    0 Global Votes
    • Helps understand ethical AI practices

      (+4)

    This online certificate from LSBR provides a deep understanding of AI ethics principles, frameworks, and risk assessment, enabling professionals to lead ethical innovation. The program equips participants with the skills to mitigate artificial intelligence risks and implement transparent, responsible AI practices.

  4. 4

    MOOC on the Ethical Use of AI in the Public Sector

    0 Global Votes
    • Free online course

      (+4)

    This MOOC is a fundamental resource for AI ethics, specifically focusing on the public sector and addressing the responsible implementation of artificial intelligence in governance. It provides comprehensive training on ethics, data governance, and human rights, which is crucial for public leaders and officials navigating digital transformation.

  5. 5

    FairNow AI

    0 Global Votes
    • Helps organizations build compliance and trust in AI

      (+4)

    FairNow AI provides a comprehensive platform for artificial intelligence governance, addressing ethics, regulatory compliance, and risk management. Its focus on continuous monitoring and bias testing enables organizations to ensure responsible and transparent AI practices. The platform simplifies the complexity of emerging regulations, facilitating ethical AI adoption.

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  7. 6

    Algorithm Watch

    0 Global Votes
    • Provides an inventory of principles and frameworks for ethical AI use

      (+3)

    Algorithm Watch is a crucial resource due to its dedication to researching and advocating for ethics in artificial intelligence. The organization actively promotes key principles such as transparency, equality, accountability, and safety in the development and use of algorithms. Its work helps ensure that AI benefits society and protects human rights.

  8. 7

    Ethical challenges of artificial intelligence: implications for society and the economy

    0 Global Votes

    This publication offers a critical and comprehensive analysis of the main ethical challenges of artificial intelligence, including algorithmic bias and privacy risks. It provides a solid foundation for understanding how AI impacts society and the economy, and proposes solutions for more transparent and accountable data governance.

  9. 8

    EU Artificial Intelligence Act

    0 Global Votes
    • First comprehensive regulation on AI

      (+4)

    This legal framework is crucial for ethics in artificial intelligence by establishing a risk-based approach and prohibiting harmful uses, ensuring safety and transparency. It provides a clear regulatory foundation for developers and users, fostering confidence in AI solutions within an ethical and fundamental rights framework.

  10. 9

    Course on Ethics and Governance of Artificial Intelligence

    0 Global Votes
    • Equips professionals to navigate ethical and governance challenges

      (+3)

    This free course from the University of Helsinki offers a comprehensive overview of ethical considerations in artificial intelligence. It provides participants with a deep understanding of AI ethics principles, frameworks, and risk assessment, using practical case studies to identify issues of fairness and transparency.

  11. 10

    Guide on Generative AI Tools for Research

    0 Global Votes
    • Offers an overview of ethical considerations

      (+2)

    This guide is a fundamental resource for understanding the integration of generative AI in research, emphasizing the importance of ethics. It addresses key considerations such as fairness, transparency, and privacy, which are essential for responsible artificial intelligence use.

Frequently asked questions

This ranking evaluates the leading online resources available for understanding and applying ethics in artificial intelligence, including courses, guides, and certifications that address safety, privacy, governance, and responsibility in the design and use of AI systems.
You can suggest resources that offer relevant training or information on AI ethics, such as courses on fairness, transparency, and accountability, or guides on the responsible design and implementation of AI systems. The community values contributions that enrich the understanding of these topics.
The results reflect the relevance and usefulness of online resources in the field of AI ethics, based on their content regarding ethical principles, frameworks, risk assessment, and governance. They serve as a guide for those interested in deepening their knowledge in this area.
Certifications such as IEEE CertifAIEd, CAEGP, CertNexus CEET, and courses from recognized institutions like the University of Helsinki or Harvard are included, covering everything from technical skills to bias mitigation and AI governance.

How we built this ranking and what to consider when choosing

This ranking has been developed to highlight the most valuable online resources in the field of artificial intelligence ethics. Our goal is to offer a clear and useful guide for individuals and organizations seeking to understand and apply ethical principles in AI development and use.

  • The relevance of each resource is evaluated based on its content, ensuring it addresses key aspects such as proportionality, safety, privacy, adaptive governance, and responsibility in AI.
  • Resources offering both a solid theoretical foundation and practical applications are considered, including courses, guides, and certification programs that facilitate ethical AI literacy.
  • The ability of resources to address emerging challenges of generative AI, such as academic integrity and plagiarism, and the need for proper attribution of AI use, is valued.
  • Special attention is given to resources that promote the transparency and explainability (T&E) of AI systems, as well as the need for auditing and traceability mechanisms to ensure compliance with human rights.
  • The resource must offer substantial educational or informational content on the ethical principles of artificial intelligence, including topics such as safety, privacy, accountability, and governance.
  • Priority is given to resources that address AI ethics in practical contexts, such as the design, implementation, use, and management of AI systems, especially in the public sector or intelligence communities.
  • Resources that offer training programs, courses, or recognized certifications contributing to ethical AI literacy and skill development for mitigating risks and biases are valued.
  • The inclusion of topics related to current challenges of generative AI, such as academic integrity, plagiarism, and the need to cite AI use, is an important factor.
  • Resources that emphasize the importance of auditability, traceability, oversight, and transparency of AI systems to ensure their alignment with human rights norms and environmental well-being are considered.