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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
अल्गोरिदममध्ये अतिरेकी विचारसरणीचा प्रसार आणि प्रचार क
एल्गोरिदम में न केवल कट्टरपंथी विचारों को बढ़ाने की बल्क
Algorithms have the potential to amplify and spread extremism, thus, a multipronged approach combined with technology, innovations, and regulatory che
डिजीटल क्षेत्रामध्ये अल्गोरिदम सातत्याने महत्त्वपुर्�
As algorithms exercise an ever-increasing role in the digital sphere, there is a need to ensure that they function in alignment with societal values u
AI-आधारित क्रेडिट स्कोअरिंगचा वापर अधिक जबाबदारीने करण्य
AI आधारित क्रेडिट स्कोरिंग का ज़िम्मेदारीपूर्ण उपयोग सुनि
The responsible use of AI-based credit scoring requires ongoing efforts from both industry and regulatory bodies. Despite its promise, its implementat
एआय विकसित करण्याच्या प्रक्रियेत, त्याच्या डिझाइनपासून
The AI development process from design to deployment perpetuates gender bias. Future legislation should recognise these gender-based risks to mitigate
कृत्रिम बुद्धिमत्तेचे फायदे लक्षात आले आहेत आणि धोके दू�
अल्गोरिदमचा फायदा घेणाऱ्या कॉर्पोरेट्स संस्थांनी योग्�
To ensure that AI’s benefits are realised and risks are addressed, algorithmic auditing can help analyse how these systems operate, and in the proce
Corporates which leverage algorithms need to hold themselves accountable to mitigate the harm caused by algorithmic systems until proper legislation i
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
Defence structures around the world are seeing a technological upheaving as new and emerging technologies like artificial intelligence (AI) are being added to military arsenals. However, military AI largely lacks precision and is often developed without any threat-modelling which takes gender into account, examples of which are already being seen in civilian applications of AI. Translated into a conflict environment, deploying such AI systems cou
Emerging technology is slowly finding a place in developing countries for its potential to plug gaps in ailing public service systems, such as healthcare. At the same time, cases of bias and discrimination that overlap with the complexity of algorithms have created a trust problem with technology. Promoting transparency in algorithmic decision-making through explainability can be pivotal in addressing the lack of trust with medical artificial int
