CBSE 11 AI (Artificial Intelligence) | 10. AI Ethics by Abraham | Learn Smarter
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10. AI Ethics

10. AI Ethics

The chapter discusses the importance of AI Ethics, which encompasses the moral principles and guidelines governing AI development and use. Major ethical concerns include bias, lack of transparency, job displacement, misinformation, and privacy violations. To address these issues, ethical AI principles and frameworks are outlined, focusing on fairness, accountability, and safety to ensure that AI technology benefits society without causing harm.

28 sections

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Sections

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  1. 10

    AI Ethics examines the moral principles guiding the development and use of...

  2. 10.1
    What Is Ai Ethics?

    AI Ethics encompasses the moral principles guiding the development and use...

  3. 10.2
    Why Is Ai Ethics Important?

    AI ethics are crucial for ensuring AI technologies benefit society without...

  4. 10.2.1
    Prevention Of Harm

    This section emphasizes the importance of preventing harm when utilizing AI...

  5. 10.2.2
    Fairness And Non-Discrimination

    This section addresses the importance of fairness and non-discrimination in...

  6. 10.2.3
    Transparency

    Transparency in AI refers to the ability for users to understand how and why...

  7. 10.2.4
    Accountability

    Accountability in AI emphasizes the need for clear responsibility for AI...

  8. 10.2.5

    Privacy plays a crucial role in AI ethics, especially concerning the...

  9. 10.3
    Major Ethical Concerns In Ai

    This section addresses significant ethical concerns in AI, including bias,...

  10. 10.3.1

    Bias in AI arises when algorithms and training data contain prejudices,...

  11. 10.3.2
    Lack Of Transparency (Black Box Problem)

    The Black Box Problem refers to the complexity of some AI models that makes...

  12. 10.3.3
    Job Displacement

    Job displacement due to AI refers to the loss of jobs caused by automation...

  13. 10.3.4
    Deepfakes And Misinformation

    This section examines how deepfakes, powered by AI, contribute to...

  14. 10.3.5
    Surveillance And Privacy Violations

    This section addresses how AI technologies in surveillance can infringe on...

  15. 10.4
    Principles Of Ethical Ai

    The section outlines essential principles of ethical AI, emphasizing...

  16. 10.5
    Guidelines And Frameworks

    This section outlines key guidelines and frameworks for implementing ethical...

  17. 10.5.1
    Responsible Ai By Niti Aayog (India)

    NITI Aayog's guidelines focus on promoting responsible AI through essential...

  18. 10.5.2
    Unesco’s Ai Ethics Recommendations

    UNESCO's AI Ethics Recommendations establish global guidelines for the...

  19. 10.6
    Ethics In Ai Development Lifecycle

    The development lifecycle of AI systems must incorporate ethical...

  20. 10.6.1
    Data Collection

    Data Collection in AI development focuses on ethical considerations...

  21. 10.6.2
    Model Training

    This section discusses the ethical considerations specific to the model...

  22. 10.6.3

    Deployment in AI ethics focuses on ensuring transparency and accountability...

  23. 10.6.4

    Monitoring in AI development focuses on tracking performance and correcting...

  24. 10.7
    Case Studies

    This section explores real-world case studies demonstrating ethical issues...

  25. 10.7.1
    Case Study 1: Compas – Bias In Judicial System

    The COMPAS case study highlights how biased data can influence judicial...

  26. 10.7.2
    Case Study 2: Amazon Recruitment Tool

    The Amazon Recruitment Tool case study highlights how automation in hiring...

  27. 10.7.3
    Case Study 3: Deepmind And Nhs (Uk)

    This section discusses the ethical concerns surrounding DeepMind's use of...

  28. 10.8
    Future Of Ethical Ai

    The future of ethical AI focuses on effective regulation, independent...

What we have learnt

  • AI Ethics ensures that AI systems respect human rights and promote fairness.
  • Key ethical concerns include bias, lack of transparency, and privacy violations.
  • Global organizations advocate for principles such as fairness, accountability, and safety in AI.

Key Concepts

-- AI Ethics
The moral principles and guidelines that govern the development and use of Artificial Intelligence.
-- Bias
A tendency of AI systems to produce outcomes that are prejudiced due to flawed training data or algorithms.
-- Transparency
The principle that AI decisions should be explainable and understandable, especially in high-stakes applications.
-- Accountability
The requirement that there should be clear responsibility for actions taken by AI systems.
-- Privacy
The ethical obligation to protect personal data used in AI systems.

Additional Learning Materials

Supplementary resources to enhance your learning experience.