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संकटाच्या अंदाजापासून ते सहाय्य वितरणापर्यंत, AI मानवताव
From crisis prediction to aid distribution, AI is reshaping humanitarian efforts, but challenges like bias, privacy, and accountability remain
As AI enters the field of nuclear security, global discussion forums that produce ethical and regulatory frameworks for the use of AI are necessary
वर्ष 2025 एक निर्णायक मोड़ लेकर आया है. तकनीक, अर्थव्यवस्था �
एआय आधीच आंतरराष्ट्रीय शांतता आणि सुरक्षिततेसाठी मोठे �
AI already presents major risks for international peace and security. We must address the dangers of misuse.
The tradeoff between explainability and efficiency will need to be covered through purposeful investment
Responsible and ethical AI is premised on an infrastructure of trust; it is imperative that accountability and governance frameworks establish transpa
How AI systems impact the environment and how we can be more sustainable in their design, development, and deployment
The Observer Research Foundation’s first Tech Huddle was held on 23 November 2023 and focused on the governance of artificial intelligence (AI) in India, highlighting the rapid growth and adoption of AI as well as the complexities associated with developing regulatory frameworks for it. AI governance is in its infancy, both globally and in India, and grapples with issues such as the explainability of AI systems as well as the embedded biases, s
Stakeholder groups have produced various guidelines on ethical Artificial Intelligence (AI) in recent years. However, translating principles into practice continues to be a massive challenge, as AI markets expand and AI risks are heightened. AI audits—or the process of investigating an algorithm against existing regulations and known harms—are emerging as a way of bridging the gap between principle and practice. This paper scans the landscape
In recent years, different research institutions, government bodies, and private entities across countries have issued principles and guidelines for the ethical use of Artificial Intelligence (AI). There is little consensus, however, over universal ethical principles and how to implement them. What are the similarities and differences in AI ethics discussions across geographies, and what are the existing gaps? Crucially, if the larger goa