AI Development Ethics

A AI Development Ethics is a technology development ethics for AI development.

• Context:
  • It can (typically) address Societal Biases that AI systems can perpetuate and amplify if not developed carefully, promoting ethical principles like Fairness, Non-Discrimination, and Inclusiveness to mitigate these risks.
  • It can (often) emphasize the importance of transparency and Explainability to understand how AI models make decisions and to ensure Accountability.
  • It can prioritize Privacy and Data Protection throughout the AI lifecycle, including ethical data sourcing, secure storage, and proper data management.
  • It can necessitate clear Human Oversight and Accountability Frameworks to address cases where AI systems cause harm or make mistakes.
  • It can promote Human Rights, Dignity, and Freedoms rather than infringing upon them, recommending inclusive and participatory approaches to ensure AI benefits all groups equitably.
  • It can consider Environmental Sustainability and societal impacts like Labor Disruption in AI development.
  • It can stress the importance of practical implementation strategies and actionable policies for realizing ethical AI development.
  • It can acknowledge debates on whether market forces, open-source solutions, and pioneering sectors will drive the adoption of ethical AI practices, contrasting with views that stronger governance frameworks are needed.
  • ...
• Example(s):
  • The UNESCO Recommendation on the Ethics of Artificial Intelligence, which provides guidelines for ethical AI development.
  • The IBM Principles for Trust and Transparency, which include fairness, explainability, and accountability in AI development.
  • The Transcend's Ethical AI Guidelines, which emphasize privacy, data protection, and inclusive approaches in AI development.
  • ...
• Counter-Example(s):
  • Social Media Development Ethics.
• See: AI Ethics, Responsible AI, AI Transparency, AI Accountability

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References

2024

• Perplexity
  • AI development ethics is a crucial aspect of ensuring that artificial intelligence systems are designed and deployed in a responsible and ethical manner. Here are some key points regarding AI development ethics:
  • AI systems can perpetuate and amplify societal biases if not developed carefully. Ethical AI development principles like fairness, non-discrimination, and inclusiveness help mitigate these risks.[1][2] Transparency and explainability are vital to understand how AI models make decisions and to ensure accountability.[1][4]
  • Privacy and data protection must be prioritized throughout the AI lifecycle, including ethical data sourcing, secure storage, and proper data management.[1][4] Clear human oversight and accountability frameworks are needed in case AI systems cause harm or make mistakes.[1][2]
  • AI development should promote human rights, dignity, and freedoms rather than infringing upon them. Inclusive and participatory approaches are recommended to ensure AI benefits all groups equitably.[3][4] Environmental sustainability and societal impacts like labor disruption should also be considered.[3]
  • While high-level principles are important, practical implementation strategies and actionable policies are crucial for realizing ethical AI development.[1][4] Some experts believe market forces, open-source solutions, and pioneering sectors will drive adoption of ethical AI practices.[5] However, others are skeptical that ethical AI will become the widespread norm soon without stronger governance frameworks.[5]
  • Citations:

[1] https://transcend.io/blog/ai-ethics
[2] https://www.ibm.com/topics/ai-ethics
[3] https://iac.gatech.edu/featured-news/2023/08/ai-ethics
[4] https://www.unesco.org/en/artificial-intelligence/recommendation-ethics
[5] https://www.pewresearch.org/internet/2021/06/16/experts-doubt-ethical-ai-design-will-be-broadly-adopted-as-the-norm-within-the-next-decade/

2024

• (Gabriel et al., 2024) ⇒ Iason Gabriel, Arianna Manzini, ..., Murray Shanahan, ..., Blaise Agüera y Arcas, William Isaac, and James Manyika. (2024). “The Ethics of Advanced AI Assistants.” doi:10.48550/arXiv.2404.16244
  • NOTES:
    • The paper discusses the ethical concerns related to the human-like nature of AI assistants, including trust, privacy, anthropomorphism, and the moral limits of personalization, advocating for beneficial and autonomy-preserving relationships.
    • The paper examines the ethical risks associated with AI assistants, including misinformation, opinion manipulation, and erosion of trust, proposing technical and policy solutions to mitigate these risks.

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