K2's AI - Security And Privacy Issues

K2's AI - Security And Privacy Issues

K2’s AI – Security And Privacy Issues

Information Technology
1 CPE Credits
Course - K2's AI - Security And Privacy Issues
25c-aisecpis
In-Person, Webinar
Live
Intermediate
50 Minutes
Topics Learning Objectives Description Compliance

Major Topics

  • Major provisions of security and privacy policies
  • Key risks associated with using commercial AI tools
  • Steps to take to mitigate AI security and privacy risks

Learning Objectives

  1. Differentiate between AI security and privacy risks
  2. List examples of key security and privacy risks associated with many of today’s AI platforms
  3. Identify best practices for mitigating the security and privacy risks associated with AI

Description

Security and privacy issues must be top-of-mind concerns for business professionals using AI. Yet, for far too many of these professionals, no concern is given for the potential security and privacy risks associated with AI, setting the stage for potentially disastrous results!

In this session, you will learn about AI security and privacy risks and how to manage them. This session includes discussions of the major AI companies’ security and privacy policies, how AI platforms might use your data, and how you can stay in control. Given how quickly AI is spreading, this is one session you simply cannot afford to miss.

Compliance Information

Business professionals seeking to mitigate the risks associated with generative AI tools None Information Technology 1 Credits January 1, 2025
Topics

Overview

Security and privacy issues must be top-of-mind concerns for business professionals using AI. Yet, for far too many of these professionals, no concern is given for the potential security and privacy risks associated with AI, setting the stage for potentially disastrous results!

In this session, you will learn about AI security and privacy risks and how to manage them. This session includes discussions of the major AI companies’ security and privacy policies, how AI platforms might use your data, and how you can stay in control. Given how quickly AI is spreading, this is one session you simply cannot afford to miss.

Course Details

  • Fundamental Excel techniques all accounting and financial professionals should know and use
  • Creating date-based calculations in Excel
  • How to create Excel templates
  • Key options you should enable in Excel
  • Linking data in Excel

  1. Implement tools and techniques for formatting data in Excel, including multiline column headings, the Accounting Format, custom date and number formats, and Conditional Formatting
  2. Customize Excel’s user environment, including the Ribbon and the Quick Access Toolbar, adjust Excel’s Options to improve efficiency, and create and use Templates to increase efficiency and productivity
  3. Utilize various formula-building tools to create formulas more efficiently and create multiple types of formulas, including formulas to manipulate text and dates, formulas containing XLOOKUP functions, formulas that contain conditional calculations, and formulas that contain circular references
  4. Link data across multiple Excel worksheets and workbooks, update and manage links, and create sum-through formulas and rolling reports

Intended Audience — Accounting and financial professionals who want to learn how to use Excel more efficiently and effectively

Advanced Preparation — None

Field of Study — Accounting, Computer Software and Applications

Credits — 8 Credits

IRS Program Number –

Published Date – November 2, 2022

Revision Date –

Course Authors

No items found