What is AI governance? The concept of AI governance—like data governance—is not easily defined. Because AI, in its current form, is so new in the enterprise and so powerful, the term is still being defined. But we do know AI governance has to deal with managing key and sensitive topics including
- Ethics, Morality, and Bias
- Privacy and Security
- Regulatory and Standards Bodies
At the same time, actively managing a large and growing portfolio of predictive models will likely end up requiring investment including
- Updating IT capabilities
- Curation & Lineage
- Accuracy & Efficacy
- Human Centered Design and Usage
Taken together, this body of topics surrounding the actual technical delivery of AI may be what makes AI a success or a fail in your company. By attending this talk from Cloudera, be exposed to AI governance as it exists today, from the perspective of practitioners working with patient data and clinical and healthcare use cases.
Benefits of attending include
- Understanding AI governance for healthcare as defined by the world’s largest company solely focused on providing big data, machine learning and advanced analytics enabled for the cloud
- Create a checklist of corporate governance issues that will need to be addressed as your AI models move from development to production
- Understand why many AI models fail to be implemented at the bedside and the role of human centered design
- Start thinking about security, adversarial attacks, privacy and consent as enablers to robust, anti-fragile AI
LOCATION:
Water Grill
3300 Bristol Street
Costa Mesa, California 92626
Agenda
11:30 AM: Registration and Networking
11:45 AM: AI Governance in Healthcare featuring Shawn Dolley
12:30 PM: Q & A
1:00 PM: Adjourn
Speakers
