Artificial intelligence

This article presents the potential threats which are usually faced while using artificial intelligence. The study looks at data from government organizations and prominent academic institutions such as Yoshua Bengio’s 2025 study, The International AI Safety study (2025), World Economic Forum assessments, McKinsey Global Institute projections, OECD monitoring frameworks, MIT Technology Review, and research from the International Labor Organization amongst others to investigate the complex risk environment associated with the development and use of AI. It also portrays that instead of processing any inherent moral attributes, AI reflects the objectives, values and errors of creators. Moreover, it focuses on the fact that at this critical juncture, the issue is mostly sociological rather than technical. It is finally concluded that AI Governance is a must, and not a choice.

The integration of Artificial Intelligence (AI) in media education is transforming pedagogical methods, media literacy, and the definition of critical thinking as it is perceived today. The employment of AI technologies facilitates learning through the provision of personalised content, the automation of the assessment process, and the development of analytical capabilities. This research delves into the implications of AI in education practice, its impact on media literacy and on developing critical thinking. The paper also briefly discusses ethical implications and data privacy concerns associated with AI. This research posits that AI technologies will be the most essential tools to equip students in order to navigate a digital world.

Artificial Intelligence (AI) describes systems that can replicate human thought processes, including learning, reasoning, and making decisions. These abilities are driven by sophisticated algorithms, data analysis, and the recognition of patterns. The development of AI has been sometimes compared to the invention of electricity since it has as diverse applications as the usage of electricity. It can be used across multiple sectors of the economy including agriculture, healthcare, manufacturing, urban transport, disaster management, education, policy making, cyber-security, governance, energy solutions, and supply chain management. Artificial intelligence enhances predictive analytics, enabling improved planning and immediate interaction with citizens, contributing to more inclusive governance. It can also boost the operational efficiency of managing large systems. In India, the AI-enabled digital public-infrastructure platforms like Aadhaar, Digiyatra, UPI, and DigiLocker have revolutionised governance. This paper explores the various initiatives adopted by the state governments in India to use AI technology to develop and transform Indian cities into smart cities. The paper also seeks to examine the opportunities that AI offers as well as the challenges that the governments must address for successful integration of AI into the designing of these cities. The government needs to play the balancing act between innovation and ethical concerns.