AI Risk Fundamentals: Understanding Emerging Tech Threats

Overview

Navigate the rapidly evolving AI landscape and its emerging risks. Understand fundamental AI technologies including large language models, computer vision, and robotic process automation. Learn to identify AI-related security vulnerabilities, privacy concerns, and operational risks in emerging tech implementations. Explore basic AI risk mitigation strategies, technology assessment frameworks, and vendor evaluation criteria. Gain confidence in discussing AI capabilities, limitations, and risk implications with technical teams and stakeholders to make informed technology adoption decisions.

Delivery Method: Individual webcast

CPE Credit: 1

Program Level: Basic

Highlights

• AI Landscape Risks
• Core AI Technologies
• Security Vulnerabilities
• Privacy Concerns
• Assessment Frameworks

Prerequisites

None

Designed For

Client advisory (CAS) leaders, Audit & assurance managers, Risk/quality management leaders, IT advisory / SOC teams, Practice managers evaluating AI tools, Senior staff/engagement leads involved in tech adoption  

Objectives

• Identify key AI technologies and their associated risk profiles
• Understand fundamental AI security vulnerabilities and privacy concerns
• Evaluate emerging AI technologies using basic risk assessment criteria
• Communicate AI risks effectively to technical and non-technical stakeholders
• Identify a methodology or framework to effectively assess internal and external hosted AI solutions

Preparation

 None