Today, the Ethical, Trustworthy, and Transparent AI are in focus - in broader terms, AI Governance. This is the logical consequence of two things:
- The growing application and impact of AI
- Unfortunate and misunderstood use of data- and AI for some organizations.
The new challenges for everyone who wants to get started with AI are public opinions toward AI as well as the guidelines and regulations on AI ethics, trustworthiness, and robustness. Both AI and data guidelines and regulations are being implemented across the globe to ensure that consumers can trust organizations with their data and that AI models in operation are transparent, fair, and trustworthy.
During this webinar, we will dive into understanding what biases in AI models are, how they form, and how we can avoid or minimize their potential for unethical decisions.