responsible AI

  • Navigating AI Ethics in 2025: Challenges and Opportunities

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    By 2025, AI’s rapid evolution will demand greater attention to ethics, transparency, and accountability. This article explores key ethical challenges and how individuals, businesses, and governments can address them while seizing the opportunities AI offers. 1. Understanding the Core Ethical Challenges The ethical challenges of AI are multifaceted, ranging from bias in algorithms to…

  • Federated Learning and Privacy-Preserving AI: Decentralized Data for a More Secure Future

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    n a world increasingly shaped by data-driven insights, the way we train artificial intelligence (AI) models has profound implications for innovation, user trust, and societal values. Conventional machine learning approaches often centralize vast amounts of sensitive data—medical records, personal photos, financial transactions—on servers or cloud platforms, raising concerns about privacy, security, and data ownership.…