10 papers analyzed
These studies suggest that addressing the social and ethical challenges of AI and robotics involves establishing ethical guidelines, ensuring accountability, fairness, and transparency, fostering interdisciplinary research and collaboration, and integrating stakeholder theory and social contracts theory.
The rapid advancement of artificial intelligence (AI) and robotics presents significant social and ethical challenges. These challenges span various domains, including governance, healthcare, business automation, and societal impacts. Addressing these challenges requires a multifaceted approach that incorporates ethical frameworks, regulatory measures, and interdisciplinary collaboration.
Ethical Frameworks and Governance:
Interdisciplinary Collaboration:
Ethical Caution and Moral Sensibility:
Privacy and Data Security:
Business Automation and Ethical Implications:
Global Collaboration and Regulation:
Addressing the social and ethical challenges posed by the rapid advancement of AI and robotics requires a comprehensive approach that includes developing ethical frameworks, fostering interdisciplinary collaboration, ensuring privacy and data security, considering the ethical implications of business automation, and promoting global collaboration and regulation. By embracing these strategies, society can harness the potential of AI and robotics while upholding the highest ethical standards and mitigating potential negative impacts.
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