How Are Organizations Approaching AI Risk Management Today?

[Ana]

As AI adoption continues to grow across industries, AI risk management is becoming a major discussion point. While AI offers significant benefits in automation, decision-making, and customer experience, it also introduces challenges related to data privacy, model bias, security, compliance, and transparency.

I'm curious to hear from professionals working with AI systems:

What are the biggest AI risks your organization is focusing on?
How do you ensure responsible AI deployment?
Are there specific frameworks or governance practices that have worked well for your team?
Do you think AI risk management should be addressed at the development stage or continuously throughout the AI lifecycle?

Looking forward to learning from real-world experiences and best practices.