Obstacles to the Full Realization and Adoption of Artificial Intelligence (AI)

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dc.contributor.authorMeher, Kunal
dc.date.accessioned2025-05-20T06:07:01Z
dc.date.available2025-05-20T06:07:01Z
dc.date.issued2024-10-25
dc.descriptionuGDX
dc.description.abstractArtificial Intelligence (AI) holds transformative potential across various sectors, yet its journey to full realization and widespread adoption is impeded by several significant obstacles. These challenges span technical, ethical, societal, research and development, implementation, and regulatory domains, necessitating a comprehensive and multi-faceted approach to address them. Technical Challenges: AI systems require vast amounts of high-quality, labeled data, which is often unavailable or of poor quality. AI models also struggle to generalize beyond specific tasks, and their opaque decision-making processes hinder trust. Scaling AI to handle large datasets and interactions, while ensuring robustness and security against adversarial attacks, poses major technical hurdles. Ethical and Societal Challenges: AI can perpetuate and amplify biases, leading to unfair outcomes and privacy issues. AI-driven automation risks job displacement, necessitating measures for worker support and retraining. The rapid development of AI outstrips regulatory bodies' abilities to create appropriate frameworks, complicating responsible deployment. Research and Development Challenges: AI struggles to integrate information from different modalities and lacks human-like common sense and reasoning. Improving AI's learning efficiency to reduce its dependence on vast data is a significant research focus. Implementation Challenges: Integrating AI into legacy systems, addressing the talent shortage, and managing the high costs of AI development and deployment are substantial barriers. Ethical and Regulatory Uncertainty: The absence of universally accepted ethical guidelines and varying regulatory landscapes create uncertainty and potential misuse. Addressing these multifaceted obstacles requires a concerted effort from researchers, developers, policymakers, and society to create robust, fair, and transparent AI systems, unlocking AI's full potential and societal benefits.
dc.identifier.issn2197-5248
dc.identifier.urihttps://atlasuniversitylibraryir.in/handle/123456789/756
dc.language.isoen
dc.publisherSEEJPH
dc.subjectTechnical Challenges
dc.subjectEthical and Societal Challenges
dc.subjectResearch and Development
dc.subjectImplementation Barriers
dc.subjectRegulatory Uncertainty
dc.titleObstacles to the Full Realization and Adoption of Artificial Intelligence (AI)
dc.typeArticle

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