review · World Journal of Advanced Research and Reviews
This critical review examines the pursuit of Artificial General Intelligence (AGI), highlighting its significant technical and ethical challenges. Technical hurdles include developing learning algorithms that can generalise across diverse domains, engineering adaptive systems, and ensuring safety and reliability to prevent algorithmic bias or catastrophic outcomes. Ethically, concerns arise regarding accountability, transparency, and control when autonomous systems make decisions. The review also considers socio-economic impacts like job displacement and inequality. It proposes that overcoming these issues requires interdisciplinary collaboration among computer scientists, ethicists, policymakers, and the public. Fostering inclusive dialogue and prioritising ethical principles are crucial for responsible AGI development that aligns with human values.
Understanding the technical and ethical challenges of Artificial General Intelligence is crucial because AGI promises transformative capabilities but also poses profound societal risks. This review helps stakeholders recognise the complexities involved, promoting informed discussions and collaborative efforts to ensure AGI development benefits humanity responsibly.
This abstract provides a critical review of challenges and ethical considerations for Artificial General Intelligence. It does not indicate a specific application pathway or commercialisation opportunity.
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The pursuit of Artificial General Intelligence (AGI) has captivated researchers and industry leaders alike, promising a future where machines possess human-like cognitive abilities. However, this ambitious endeavor is fraught with multifaceted challenges and ethical dilemmas that necessitate careful examination. This critical review surveys the landscape of AGI research, identifying key hurdles and ethical considerations while outlining potential pathways forward. Firstly, technical challenges loom large on the path to AGI. These encompass fundamental problems such as developing robust learning algorithms capable of generalizing across diverse domains, as well as engineering systems that can exhibit adaptive and autonomous behavior akin to human intelligence. Additionally, ensuring the safety and reliability of AGI systems presents a formidable obstacle, with concerns ranging from algorithmic bias to the potential for catastrophic outcomes in unanticipated scenarios. Ethical considerations permeate every facet of AGI development and deployment. Questions of accountability, transparency, and control surface as central concerns, as the implications of relinquishing decision-making authority to autonomous systems raise profound ethical dilemmas. Moreover, the socio-economic ramifications of widespread AGI adoption, including job displacement and inequality, demand careful scrutiny and proactive mitigation strategies. Navigating these challenges requires a concerted effort from interdisciplinary stakeholders. Collaboration between computer scientists, ethicists, policymakers, and the public is essential to establish robust frameworks for the responsible development and deployment of AGI. Moreover, fostering an inclusive dialogue that prioritizes ethical principles and societal values is paramount in shaping a future where AGI augments human capabilities while safeguarding against potential risks. While the pursuit of AGI holds immense promise, its realization demands a holistic approach that addresses technical challenges alongside ethical considerations. By charting a path forward that prioritizes safety, transparency, and ethical governance, we can harness the transformative potential of AGI while ensuring its alignment with human values and interests.
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DOI: 10.30574/wjarr.2024.21.3.0817
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