Overview
Responsible AI Governance is crucial in today's technology-driven world, as it ensures that AI systems are developed and used ethically. By implementing frameworks that prioritize fairness, accountability, and transparency, organizations can mitigate risks associated with AI technologies. This gover...
Key Terms
Example: Facial recognition systems may misidentify individuals from certain ethnic backgrounds.
Example: A company discloses how its algorithm evaluates loan applications.
Example: A developer must take responsibility for biased outcomes produced by their AI.
Example: AI ethics involves ensuring fairness and justice in AI applications.
Example: AI governance includes policies that regulate AI development and use.
Example: Users should consent to how their data is used in AI training.