Data Analytics II: Artificial Intelligence & Machine Learning

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Subject: “Data Analytics II: Artificial Intelligence & Machine Learning”
Date: Wednesday, 16 October 2024
Time: 9:00 to 17:00
Venue: Cleopatra Hotel, Nicosia
Language: English
CPE Points (Continuous Professional Education): 7 CPEs
Instructors: Spiros Alexiou (Ph.D., CIA, CISA, CSX-F)
Outline: Seminar Outline
Registration Form: Seminar Participation

Seminar Objectives:

This course aims to introduce the participants to Advanced Data Analytics and Artificial intelligence, so that they can:

  • recognize when it could bring benefits to their work
  • understand the methods, their use and some tools available
  • use these methods in their work
  • recognize their limitations and cost-benefit considerations
  • understand methods introduced in the company, their limitations and what to look for when auditing Artificial Intelligence
  • be able to advise on matters related to Artificial Intelligence and its use in the company.

Seminar Outline:

Introduction

  • Data Analytics and Domain Expertise
  • Do I need to be a data scientist to use Artificial Intelligence?
  • The tasks of Data Analytics with examples
  • Elements of Statistics
  • Noise and pitfalls
  • Training and its limitations

Artificial Intelligence Techniques for Auditors

  • Clustering
  • Support vector machines
  • Case-based Reasoning
  • Decision Trees and random Forests
  •  Neural Networks

Tools and examples

  • No-code/low code: Rapidminer and Weka
  • R

Metrics and Applications

  • Importance of Metrics
  • Examples and metrics
  • Simple and advanced metrics
  • Deep Fakes
  • Generative AI (Chat GPT): Examples

Transparency and Explainability

Auditing Artificial Intelligence

  • Artificial Intelligence: Business aspects and Ethics aspects
  • Awful Artificial Intelligence: How not to use Artificial Intelligence
  • Rules, guidelines and tips

Program Overview:

Advanced Data Analytics and Artificial Intelligence is a topic many talk about and organizations are seeking ways to harness its potential, while many fear its risks. This course aims to introduce the participants to Advanced Data Analytics and Artificial Intelligence, so that they can both use these tools in their audits and understand the opportunities and risks, and hence audit them. We will cover the use and limitations of these methods, present in detail five methods, including data preparation and interpretation of results, as well as tools. We will also cover metrics as well as applications, transparency and explainability, we will discuss developments and their pitfalls and give ideas and tips on auditing Artificial Intelligence and Advanced Data Analytics and relevant controls.

Target audience:

Chief audit executives, audit managers, auditors-in-charge, senior and staff auditors, junior auditors and professionals working in other control functions (Compliance Units, External Auditors, Members of the Board, Audit Committee members, Security Professionals, Risk Management, Line and Senior Managers, Team Leaders, etc.) wishing to understand the potential and limitations of Artificial Intelligence and either use it, or devise controls to minimize its risk and enhance is benefits.

About the Instructor:

Dr. Spiros Alexiou is an experienced Auditor for the last 17 years, holder of a Ph.D. from Brown University and 3 audit certifications (CISA-top 5%, CIA, CSX-F), with over 20 years of teaching experience in Universities and professional institutes. He has worked with Data Analytics for 35 years, publishes and referees scientific papers on a number of topics, including Artificial Intelligence. He has worked with Artificial Intelligence since 2000 and has been a member of International Teams to develop Artificial Intelligence systems and has led international projects. He is the leader of the Data Analytics and Artificial Intelligence Cluster for the Audit Group of a major international company. He is a regular author for ISACA Journal, including on topics such as Advanced Data Analytics and Artificial Intelligence, as well as a regular contributor of questions for the CIA and CISA exams. He is the author of a large number of computer programs and has given seminars on Data Analytics and Artificial Intelligence for IIA and ISACA Charters.