What is AI Ethics and Governance?
Historical Background
Key Points
12 points- 1.
Fairness and Non-Discrimination: AI systems should be designed and used in a way that does not discriminate against individuals or groups based on protected characteristics such as race, gender, or religion. This requires careful attention to data collection, algorithm design, and model evaluation to identify and mitigate potential biases.
- 2.
Transparency and Explainability: AI systems should be transparent and explainable, meaning that users should be able to understand how the system makes decisions and why it arrives at a particular outcome. This is particularly important in high-stakes applications such as healthcare and finance, where decisions can have significant consequences.
- 3.
Accountability and Responsibility: Clear lines of accountability and responsibility should be established for AI systems. This means identifying who is responsible for the system's design, development, deployment, and use, and holding them accountable for any harms or negative consequences that may arise.
Recent Real-World Examples
7 examplesIllustrated in 7 real-world examples from Feb 2024 to Mar 2026
Source Topic
Anthropic to sue US government over 'intimidation' and tech ban
Science & TechnologyUPSC Relevance
Frequently Asked Questions
61. What is AI Ethics and Governance, and why is it important for UPSC preparation?
AI Ethics and Governance refers to the principles, policies, and practices that guide the responsible development, deployment, and use of Artificial Intelligence (AI). It is important for UPSC preparation because AI is increasingly impacting various sectors, and understanding its ethical and governance implications is crucial for informed decision-making and policy formulation. Questions related to AI ethics can appear in GS-2 (Governance) and GS-3 (Technology) papers.
Exam Tip
Focus on understanding the core principles and potential impacts of AI ethics and governance. Relate it to current affairs and government policies.
2. What are the key provisions related to AI Ethics and Governance, as defined in the concept?
The key provisions, as per the concept, include: * Fairness and Non-Discrimination: Avoiding bias and discrimination in AI systems. * Transparency and Explainability: Ensuring users understand how AI systems work and make decisions. * Accountability and Responsibility: Establishing clear lines of responsibility for AI systems' actions. * Privacy and Data Protection: Respecting individuals' privacy and protecting their data. * Human Oversight and Control: Maintaining human control over AI systems.
