Critically analyse the ethical concerns related with AI. Discuss merits and demerits of AI in governance.
Resources & Suggestions
Mains Answer Writing Latest Articles
On: March 8, 2025
Daily Answer Writing Practice Questions (8 March 2025)
Examine the key issues that obstruct the development of port infrastructure in India and outline the recent measures taken by the government to address these challenges. (Answer in 200 words) भारत में बंदरगाह अवसंरचना के विकास में आने वाली विभिन्न ...
On: March 7, 2025
Comments:
0
मानव-वन्यजीव संघर्ष का प्रबंधन
प्रधानमंत्री की घोषणा: मानव-वन्यजीव संघर्ष प्रबंधन के लिए एक समर्पित केंद्र की स्थापना। चुनौतियाँ: जनसंख्या वृद्धि और संसाधनों की प्रतिस्पर्धा। वन्यजीव संरक्षण का महत्व पारिस्थितिक संतुलन और जलवायु अनुकूलन: वन्यजीव पारिस्थितिकी तंत्र को बनाए रखने और जलवायु पैटर्न को विनियमित ...
On: March 7, 2025
Comments:
0
Safeguarding Wildlife, Securing Harmony”
Context: Based on the editorial “Living with animals – the challenges and the solution” published in The Indian Express. Announcement: PM announced a center for managing human-wildlife conflict. (Press Information Bureau (PIB) release or official government announcement.) Importance of Wildlife ...
A strong AI code of ethics can include avoiding bias, ensuring privacy of users and their data, and mitigating environmental risks.
Few key principles of AI Ethics:
Transparency. Make AI system transparent and understand to users and stakeholders. From hiring processes to driverless cars, AI is integral to human safety and wellbeing.
Impartiality. Another key principle for AI ethics is Ensure that,AI system do not discriminate aur exhibit basis based race , gender, ethnicity or other protected characteristics.
Accountability. Accountability is another important aspect of AI ethics.
Data governance and Privacy: Protect user privacy and secured data throughout the AI life cycle.
Ethical Concerns of AI
AI raises significant ethical concerns, including:
1. Bias and Fairness: AI systems can perpetuate and amplify biases present in their training data, leading to unfair outcomes in areas like hiring, lending, and law enforcement.
2. Privacy: AI-driven data collection and analysis can infringe on individual privacy, with algorithms potentially exposing sensitive information.
3. Accountability: It is often unclear who is responsible for AI decisions, especially when outcomes are harmful or discriminatory.
4. Transparency: AI algorithms can be complex and opaque, making it difficult to understand how decisions are made (the “black box” problem).
5. Autonomy: Excessive reliance on AI can undermine human autonomy, with machines making decisions traditionally made by humans.
AI in Governance: Merits and Demerits
Merits:
1. Efficiency: AI can streamline administrative processes, reducing costs and improving service delivery.
2. Data-Driven Decision-Making: AI can analyze large datasets to inform policy decisions, leading to more effective governance.
3. Predictive Analytics: AI can anticipate societal needs and issues, enabling proactive governance.
Demerits:
1. Bias and Discrimination: AI in governance can perpetuate systemic biases, affecting marginalized communities disproportionately.
2. Transparency and Accountability: Lack of transparency in AI algorithms can reduce trust in government decisions.
3. Privacy Concerns: AI-driven surveillance and data collection can infringe on citizens’ privacy rights.
Balancing AI’s benefits with ethical considerations is crucial for responsible governance.