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Ethical Questions in Artificial Intelligence (AI).pptx
The document addresses ethical questions in artificial intelligence (AI), focusing on issues such as bias and fairness, transparency and accountability, privacy and data protection, and human agency. It emphasizes the importance of aligning AI technologies with human values, managing risks, and ensuring equity and social justice. The need for global governance and interdisciplinary collaboration to navigate these ethical challenges is also highlighted.
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Ethical Questions in Artificial Intelligence (AI).pptx
- 1. Ethical Questions inArtificial Intelligence (AI) Dr. A. Prabaharan Professor & Research Director, Public Action www.indopraba.blogspot.com
- 2. AI & EthicalQuestions Ethical questions in AI encompass a wide range of complex issues that arise from the development, deployment, and impact of AI technologies. Here are some key ethical questions in AI www.indopraba.blogspot.com
- 3. Bias and Fairness Howcan we ensure that AI systems are free from biases and make fair and equitable decisions, particularly in sensitive domains such as hiring, lending, and criminal justice? www.indopraba.blogspot.com
- 4. Transparency and Accountability How can we ensure transparency and accountability in AI decision-making processes, especially in cases where AI systems operate as black boxes, making it difficult to understand their reasoning? www.indopraba.blogspot.com
- 5. Privacy and DataProtection How can we protect individuals' privacy rights and personal data in the context of AI applications that rely on vast amounts of data, such as surveillance systems, recommendation algorithms, and personalized services? www.indopraba.blogspot.com
- 6. Autonomy and HumanAgency How can we preserve individuals' autonomy and decision-making authority in AI-driven environments, ensuring that AI technologies empower rather than diminish human agency? www.indopraba.blogspot.com
- 7. Safety and RiskManagement How can we manage the safety and security risks associated with AI technologies, including the potential for accidents, errors, and unintended consequences, while promoting innovation and progress? www.indopraba.blogspot.com
- 8. Accountability and LegalLiability How can we determine accountability and legal liability for AI-related harms, particularly in cases where responsibility is diffused across multiple stakeholders, including AI developers, providers, and users? www.indopraba.blogspot.com
- 9. Equity and SocialJustice How can we ensure that AI technologies promote equity and social justice, addressing systemic biases and disparities in access to AI benefits, particularly for marginalized and underserved communities? www.indopraba.blogspot.com
- 10. Human-Centric Design andValue Alignment How can we ensure that AI technologies align with human values and preferences, incorporating ethical considerations, stakeholder input, and societal goals into AI design and deployment processes? www.indopraba.blogspot.com
- 11. Explainability and Interpretability Howcan we ensure that AI systems are explainable and interpretable, enabling users to understand how AI decisions are made and providing recourse in cases of errors or unfair outcomes?
- 12. Global Governance andInternational Cooperation How can we develop global governance mechanisms and promote international cooperation to address ethical challenges in AI, ensuring that AI technologies are developed and deployed in a manner that respects human rights, promotes global peace, and fosters sustainable development?
- 13. End Note Theseethical questions in AI reflect the complex interplay between technological innovation, social values, and ethical principles, highlighting the need for interdisciplinary collaboration, stakeholder engagement, and ongoing dialogue to navigate the ethical challenges and dilemmas posed by AI technologies.
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