What is Responsible AI and why do we need it?
Responsible AI refers to the ethical and accountable development, deployment, and use of AI systems. It involves ensuring fairness, transparency, privacy, and avoiding biases in AI algorithms. Responsible AI also encompasses considerations for the social impact and consequences of AI technologies, promoting accountability and human-centric design. Responsible AI plays a crucial role in steering decisions toward positive and fair results. This involves prioritizing people and their objectives in the design of systems while upholding enduring values such as fairness, reliability, and transparency.
Some ethical implications of Responsible AI are:
- Bias: AI systems can inherit biases present in their training data. These biases can lead to discriminatory outcomes, reinforcing existing inequalities.
- Explainability: Black-box models (such as LLMs) lack interpretability. Efforts are being made to create more interpretable...
