Artificial Intelligence in the Real World: Risks, Bias, and Responsibility скачать в хорошем качестве

Artificial Intelligence in the Real World: Risks, Bias, and Responsibility

In this conversation, Balaman Ravindran, Professor at Indian Institute of Technology Madras, in conversation with Raghuram BK, faculty at Azim Premji University, examines artificial intelligence as it exists outside laboratories and hype cycles, focusing on how AI systems are built, deployed, and experienced in the real world. The discussion unpacks core ideas behind machine learning and reinforcement learning, while paying close attention to the social, ethical, and political consequences of AI-driven decision-making. The conversation explores how bias enters AI systems through data, language, and design choices, and why these issues are especially significant in a diverse country like India. It also addresses questions of responsibility and governance: who is accountable when AI systems shape access to jobs, services, or information, and how regulation can protect public interest without undermining innovation. A central theme of the dialogue is AI literacy. Rather than presenting AI as either a cure-all or a threat, the conversation argues for informed, critical engagement with technology, particularly among students and young people. Understanding the limits, assumptions, and trade-offs of AI is positioned as essential to participating meaningfully in a future shaped by automation and algorithms. This conversation is part of Azim Premji University’s public lecture and dialogue series, which seeks to foster thoughtful discussion at the intersection of technology, society, and policy. #ArtificialIntelligence #AI #ResponsibleAI #EthicalAI #AIBias #AlgorithmicBias #AIGovernance #AIRegulation #ScienceAndSociety #TechAndSociety #PublicLecture #ScienceCommunication #AILiteracy #FutureOfWork #Automation #MachineLearning #ReinforcementLearning #BalamanRavindran #RaghuramBK #AzimPremjiUniversity