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Fair Treatment: Make rules to ensure AI treats
everyone fairly and respects their rights.
Transparency: Provide honest explanations of
how AI functions and ensure transparency in its
Safety: Implement measures to keep AI systems safe decision-making processes.
and secure for users.
Accountability: Hold decision-makers responsible if
something goes wrong with AI usage.
Clear Standards: Establish clear rules and standards
for using AI, covering areas like data protection and
bias prevention. Inclusivity: Consult diverse stakeholders, including
government officials, businesses, scientists, and
Risk Assessment: Before using AI, identify potential community groups, when creating AI policies.
problems and risks, and have plans in place to
address them.

Understanding the components of AI policies involves examining guidelines and principles established by various
organisations and regulatory bodies.

IBM AI Ethics Board
Focus: Ethical development and deployment of AI technologies across various industries.
Components:

u Principles for responsible AI development and deployment, including fairness, explainability, transparency, privacy,
and robustness.
u Drafting rules and guidelines that people should adhere for using and preparing AI stuff.
u Identifying how to be fair, honest, and responsible and reduce unfairness in AI stuff.
u Discussing with all the people involved in AI, like researchers, government people, and businesses, to work together on
being ethical with AI.
u Educating people about AI ethics through education and resources so everyone knows how to do AI stuff the
right way.
Microsoft’s Responsible AI Page
Focus: Corporate responsibility and ethics in AI
Components:
u Guidelines for making and using AI responsibly, like being fair, dependable, respect of privacy, and welcoming
everyone.
u Helpful stuff like fairness checks and programs that find biases, to make sure ethical concerns are part of AI projects.
u Real-life examples and good ways to use AI responsibly in different areas, showing what works well.
Artificial Intelligence at Google

Focus: Corporate AI ethics and governance
Components:

u Google’s rules for making AI ethically, covers fairness, safety, privacy, and accountability.
u Ways to make AI systems that focus on what’s important to people and making society better.
u Promises to be open, work together, and keep getting better at how AI is controlled and decisions are made.

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