Do you also feel concerned about the urgent need for consistency in data, transparency in algorithms, and the prevention of the underlying bias in AI/ML?
Then join us for this live webinar discussion and learn how you can achieve Fairness, Accountability, and Transparency (FAT) in AI Systems.
The following is the agenda of this discussion:
• What are the different types of bias?
• How to understand and monitor Data, throughout the AI Life-cycle?
• How to deal with the trade-off between the accuracy and fairness of Machine Learning Algorithms?
• How to address Engineering and Organizational challenges and build a culture for trust-worthy AI systems?
Moderator:
Megan Heath, Commercial Director for UK, UST Global
Panelists:
Maor Ivgi, Chief Technology Officer, Stardat
Heather Dawe, UK Head of Data, UST Global
Adnan Masood, Chief Architect of AI and Machine Learning, UST Global