In the age of Generative AI (GenAI), ethics and responsibility are paramount. Key considerations include:
- Bias and Fairness: Ensuring AI models do not perpetuate or amplify existing biases in data.
- Transparency: Maintaining clarity about how AI systems make decisions and the data they use.
- Privacy: Protecting individuals’ data and ensuring AI respects user privacy.
- Accountability: Establishing clear guidelines on who is responsible for AI’s actions and decisions.
- Security: Safeguarding AI systems from misuse and cyber threats.
- Societal Impact: Considering the broader implications of AI on employment, social dynamics, and inequality.
By addressing these areas, stakeholders can foster ethical AI development and deployment.
