Ethics of AI.
Ethics of Artificial Intelligence
AI ethics are the set of guiding principles that stakeholders (from engineers to government officials) use to ensure artificial intelligence technology is developed and used responsibly. This means taking a safe, secure, humane, and environmentally friendly approach to AI.
AI ethics are important considerations when creating, using, and sharing artificial intelligence (AI) technology. Some of the key ethical considerations in AI include:
- Transparency: Being open about AI's policies, actions, and laws with stakeholders can help build trust and collaboration.
- Privacy: AI can be used to track employee behavior, so it's important for employers to know where to draw the line between helpful and invasive.
- Fairness: AI algorithms should be fair to all clients and not propagate bias or discrimination.
- Anticipating Risks: Risks can arise from the data used to train AI, the algorithms used, and how the AI is used. It's important to anticipate these risks and develop strategies to mitigate them.
- Trust: Building trust is the number one value for an ethical deployment of AI.
Source: McKinsey & Company
Source: Microsoft Learn
Thank You..!!
--M.Abhinaya.
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