18 results found
जनरेटिव AI तेज़ी से आगे बढ़ रहा है लेकिन अब भी हमें नहीं पता
Despite being significantly less efficient than frontier AI models, mechanistic interpretability models such as weight-sparse transformers can yield e
भारताची AI सेफ्टी इंस्टिट्यूट एका नाजूक सीमारेषेवर उभी आ�
India’s AI Safety Institute must walk a fine line between safety and security at a time when global counterparts are shifting decisively towards sec
वाढत्या स्पर्धात्मक भू-राजकीय परिदृश्यात, AI ची सुरक्षा आ�
सहकार्याच्या वाढत्या आवाहनांदरम्यान, अमेरिकेचे व्यापक
In an increasingly competitive geopolitical landscape, choosing between AI Safety and AI Security is quickly becoming a pressing concern for the futur
The US’ sweeping AI export controls risk stifling innovation, eroding trust, and undermining global AI governance amid growing calls for cooperation
The 2025 Paris AI Action Summit stressed action, yet deep divides on AI safety, regulation, and the growing US-China tech competition, persist
AI एकसंधतेच्या क्षेत्रातील संशोधनाचे उद्दिष्ट हे AI विकास�
AI alignment research aims to encode human values within AI development. However, due to diverse contexts and value systems, responsible innovation re
AI च्या युगात दहशतवादी आणि हिंसक अतिरेकी त्यांचे ऑनलाइन ड�
As terrorists and violent extremists adapt their online tactics in the era of AI, counterterrorism efforts should also evolve, employing new tools and
Advances in disruptive technologies have enabled scientists to engineer biological systems and create more efficient and sustainable products for a range of purposes. The convergence of artificial intelligence (AI) with biotechnology has contributed to the development of therapeutics and vaccines, helped address food security, aided in generating innovative processes to mitigate the effects of climate change, and expanded the bioeconomy. However,
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
