{"id":1693,"date":"2024-10-09T11:35:19","date_gmt":"2024-10-09T11:35:19","guid":{"rendered":"https:\/\/iasquest.com\/?p=1693"},"modified":"2026-02-11T19:05:22","modified_gmt":"2026-02-11T19:05:22","slug":"gs-4-ethical-concerns-and-dilemmas-in-government-and-private-institutions","status":"publish","type":"post","link":"https:\/\/kingmakersiasacademy.com\/current-affairs\/gs-4-ethical-concerns-and-dilemmas-in-government-and-private-institutions\/","title":{"rendered":"GS-4: Ethical Concerns and Dilemmas in Government and Private Institutions;"},"content":{"rendered":"\n

In News: Nobel Prize in Physics out: How exactly have the winners contributed to AI<\/strong><\/p>\n\n\n\n

How can we ensure the ethical development and deployment of artificial intelligence to maximise its benefits for society while minimising its risks, particularly in terms of privacy, bias, and accountability?<\/strong><\/p>\n\n\n\n

AI ethics, a multidisciplinary field, which is aimed at ensuring AI technologies respect human values, avoid undue harm, can ensure the ethical development and deployment of artificial intelligence.<\/p>\n\n\n\n

Strategies that can be implemented to maximise its benefits for society:<\/strong><\/p>\n\n\n\n

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  1. Ethical principles and guidelines:<\/strong> Establishing clear ethical principles and guidelines for AI development and deployment, incorporating principles such as fairness, transparency, accountability, and non-discrimination.<\/li>\n\n\n\n
  2. Codes of conduct:<\/strong> Developing codes of conduct for AI researchers and developers, emphasising responsible and ethical practices.<\/li>\n\n\n\n
  3. Bias mitigation: <\/strong>AI systems can inherit biases from historical data. Identifying and addressing these biases is crucial to ensure fairness, especially in sensitive applications like hiring or lending.<\/li>\n\n\n\n
  4. Data privacy:<\/strong>Implementing robust data privacy and security measures to protect individuals’ personal information.Obtaining informed consent from individuals before collecting and using their data must be implemented.<\/li>\n\n\n\n
  5. Human oversight:<\/strong> Integrating human oversight throughout the AI lifecycle is crucial. This ensures that AI systems are not just technically competent, but also ethically aligned and socially beneficial.<\/li>\n\n\n\n
  6. Ethics review boards:<\/strong> Creating ethics review boards can help oversee AI projects, ensuring that ethical considerations are integrated throughout the development lifecycle<\/li>\n\n\n\n
  7. Accountability:<\/strong> Developers and organisations must be accountable for the outcomes of their AI systems. Clear lines of responsibility should be defined to address errors or unintended consequences<\/li>\n\n\n\n
  8. Collaboration:<\/strong> Fostering collaboration among governments, industry, academia, and civil society to address the challenges and opportunities of AI.<\/li>\n\n\n\n
  9. Awareness:<\/strong> Educating the public, policymakers, and industry leaders about the potential benefits and risks of AI.<\/li>\n<\/ol>\n\n\n\n

    By implementing these strategies, India can harness the potential benefits of AI while mitigating its risks and ensuring that it is developed and deployed in a responsible and ethical manner.<\/p>\n\n\n\n

    PYQ<\/strong><\/p>\n\n\n\n

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    1. The application of Artificial Intelligence as a dependable source of input for administrative rational decision-making is a debatable issue.Critically examine the statement from the ethical point of view.2024<\/li>\n\n\n\n
    2. Impact of digital technology as a reliable source of input for rational decision making is a debatable issue. Critically evaluate with a suitable example. 2021<\/li>\n<\/ol>\n\n\n\n

      Source:<\/strong><\/p>\n\n\n\n

      https:\/\/indianexpress.com\/article\/explained\/everyday-explainers\/nobel-prize-physics-how-winners-contributed-to-ai-9610309\/;<\/a>
      https:\/\/www.unesco.org\/en\/artificial-intelligence\/recommendation-ethics<\/a><\/p>\n