Course

Understanding Data Privacy and AI for Compliance

Sep 12, 2024

This session offers attendees a comprehensive exploration of the intersection between data privacy, artificial intelligence (AI), and compliance.

Session Description

This session offers attendees a comprehensive exploration of the intersection between data privacy, artificial intelligence (AI), and compliance. Through discussions and practical examples, participants will gain insights into the risks and challenges associated with data privacy and AI in compliance contexts, including data breaches, algorithmic bias, and regulatory non-compliance. The session will delve into strategies for implementing robust data privacy measures, such as data anonymization, encryption, and access controls, to ensure compliance with relevant regulations and safeguard sensitive information. Furthermore, attendees will examine the ethical and legal implications of using AI for compliance purposes, including considerations of privacy, bias, transparency, and accountability. By the end of the session, participants will be equipped with the knowledge and tools needed to navigate the complexities of data privacy and AI in compliance effectively.

 

Learning Objectives

  • Identify Risks and Challenges: Recognize the potential risks and challenges associated with data privacy and AI in compliance contexts. Learn to identify common pitfalls, such as data breaches, algorithmic bias, and regulatory non-compliance, and develop strategies for mitigating these risks effectively.
  • Implement Data Privacy Measures: Learn practical approaches for implementing data privacy measures within compliance frameworks. Explore techniques for data anonymization, encryption, access controls, and data protection impact assessments (DPIAs) to ensure compliance with relevant regulations and safeguard sensitive information.
  • Evaluate Ethical and Legal Implications: Examine the ethical and legal implications of using AI for compliance purposes. Consider issues related to data privacy, bias and fairness, transparency, and accountability. Evaluate best practices and frameworks for ensuring ethical AI deployment and compliance with regulatory requirements.

Speakers

Coming soon!

Who is this for?

For Whom: Designed to increase the professional competence of investment adviser professionals with legal, compliance and management responsibilities

Suggested Skill Level: Basic

Instructional Method: Group – Internet Based and Group Live

Pre-requisites for participation: No prerequisites are required. However, attendees can benefit by reviewing the Investment Advisers Act of 1940 and Form ADV to become familiar with structure and terms.

Advance Preparation: None

Continuing Education Credits

COMPLY Continuing Education Guide

Recommended CPE Credit: 2

Recommended IACCP® CE Credit: 2

Recommended CA MCLE Credit: 2