Overview
As AI is increasingly incorporated into their operations, businesses need to understand the underlying technologies and data flows in order to facilitate model integration, measure for bias, and promote fairness. Not all businesses can accurately define when they are using artificial intelligence, or be reliably confident in their knowledge of the internal data flows powering these systems. In addition, organizations responsible for AI models may not be familiar with all sources of data, or have identifiable tracking, documentation, and oversight of their outputs.
The Fundamentals of AI Governance session will cover topics including:
- The key markers of artificial intelligence, machine learning, and data analytics in existing systems;
- The essentials of data flows, data management, and data use for production level artificial intelligence applications;
- The basics of AI models, managing and testing models, and deploying AI; and
- The importance of understanding data and models as two levers to pull when managing bias and fairness in artificial intelligence and machine learning models.
Session Format
All sessions will take place live and in a virtual setting through 2021 and early 2022. Each will be hosted by knowledgeable FPF experts and carefully selected invited technical experts to provide real-world insights. Sessions are intended to be interactive and registered participants will have an opportunity to ask questions of hosts and to learn from each other.
In-House Corporate Sessions
Sessions are also available for companies as closed, in-house training, using the same curriculum and expert instructors. In-house training allows your teams to ask questions specific to your organization in a non-public format, collaborating and initiating discussions with your internal stakeholders while in the session.
In-house training is provided at a flat fee, per session, and is scheduled at times that are convenient both to your organization and FPF trainers. Sessions are open to your invited employees only (no public admission).
To learn more or to schedule training for your organization, contact us at [email protected].
Cancellation Policy
Cancellations will be honored, minus vendor processing fees, up until 3 days before the scheduled session. For cancellations after that date, we will honor the registration for the next scheduled date of the class or another of the Understanding Digital Data Flows training classes at FPF discretion.