Responsible AI and AI Risk Management Frameworks

This training introduces attendees to the many Responsible AI governance frameworks, risk management frameworks, and related resources that are available to organizations as they plan the safe and secure development, deployment, and use of AI systems.

Duration

8 class hours (1 day)

Audience

• Individuals responsible for or involved in AI governance, responsible/trustworthy AI, AI risk management, and related initiatives.
• Individuals involved in any stage of an AI system’s lifecycle, including the conception, design, development, testing, deployment, monitoring, use, and governance of such systems. 
• Anyone considering a career in AI governance or simply interested in the topic. 

Prerequisites

There are no prerequisites for this course.

In the duration of this course, students will:

• Explore the “promise and peril” of artificial intelligence (AI) systems and the resulting need for organizations to develop governance processes/mechanisms that ensure the safe, trustworthy, and secure development, deployment, and use of these systems.
• Explore ethical considerations in the development, deployment, and use of AI systems. 
• Review the current landscape of Responsible AI governance frameworks and risk management frameworks including a comparison of taxonomies.
• Review risk repositories, incident databases, and similar resources. 
• Review the NIST AI Risk Management Framework (RMF) and related resources (e.g., the NIST Playbook, profiles, etc.).
• Apply the NIST AI RMF to participant scenarios.
• Provide the spark needed to get people moving forward on governance initiatives. 

Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.

Register 21 days before class start date and save $250! Enter discount code EARLY250 during registration.

Is there a discount available for current students?

UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.

What is the cancellation and refund policy?

Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.