AI bias

While generative AI has captured widespread attention, its uptake has been relatively sluggish due to the pressing concerns surrounding intellectual property rights, data privacy, ethical biases, hallucinations, and environmental vulnerabilities. This whitepaper delves into the imperative enterprise strategy of deploying generative AI with comprehensive safeguards. It also highlights the endeavors of technology companies and governments to establish robust guardrails for generative AI, thus enabling responsible and secure integration. By proactively addressing these critical challenges, organizations can effectively harness the power of generative AI while mitigating its potential risks.

September, 2023