Future Directions in Artificial Intelligence
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Abstract
Artificial Intelligence (AI) is rapidly evolving beyond narrow applications toward transparent, ethical, and generalized systems. As AI increasingly impacts critical sectors, the research focus is shifting from mere computational accuracy to Explainable AI (XAI), responsible governance, and algorithmic bias mitigation. Emerging paradigms like Edge AI and federated learning prioritize data privacy and real-time processing, while the theoretical pursuit of Artificial General Intelligence (AGI) raises profound interdisciplinary questions. Furthermore, integrating AI with quantum computing, IoT, and green technologies highlights the critical need for sustainable, human-centered development. Balancing technological innovation with robust ethical frameworks is essential for empowering global society.
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References
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