AI Compliance for Executives & Regulatory Pros

Name: AI Compliance for Executives & Regulatory Pros
Author: Tony de Bree

Guide to Generative, Regulatory & Organizational Compliance

by Tony de Bree

Language : English

Become a leader in AI by mastering generative AI, regulatory & organizational AI compliance, and strategies to overcome online AI censorship while fostering freedom of expression, innovation & growth.

Professional Plus subscription free for the first 30 days, then $6.99/mo

Description

Content

book.tabs.learning objectives

Learn how to navigate the generative AI landscape dominated by US-based companies, ensure regulatory AI compliance, and achieve organizational AI compliance with this practical guide for executives & regulatory professionals. Discover strategies to overcome global AI censorship, address embedded corporate & cultural biases, and align AI adoption with applicable legal, ethical, & cultural values. Gain actionable insights to foster transparency, cultural sensitivity, and organizational change, empowering you to enhance freedom of speech, creativity, and productivity to thrive in the AI-economy.

AI The Basics
1. Introduction
2. AI – A Short History
3. AI – Definitions
4. Large Language Models (LLMs)
5. Prompt engineering
6. Summary
The Generative AI Landscape
1. Introduction
2. Responsible AI
3. How Do Large Tech Companies Implement Responsible AI?
4. AI Content Moderation – Commercial Value-Driven Censorship vs. Values-Driven Freedom of Expression
5. Summary
Ensuring Regulatory AI Compliance
1. Introduction
2. What Is Regulatory AI Compliance?
3. Key Elements of Regulatory AI Compliance
4. Why Regulatory AI Compliance is Essential for Companies
5. Summary
Ensuring Organizational AI Compliance
1. Introduction
2. What Is Organizational AI Compliance?
3. Key Objectives of Organizational AI Compliance
4. Organizational AI Compliance - Common Internal Organizational Obstacles
5. Resistance to Change
6. A New Holistic Organizational Change & Transition Approach
7. Summary

Understand the fundamentals of AI: Develop a non-technical comprehension of what AI is and its core concepts. (Measure: Ability to explain AI in plain language without technical jargon). Analyze the generative AI landscape: Identify and describe key developments in generative AI, including the influence of major tech companies and their policies on banned content. (Measure: Ability to critically assess the cultural and ethical implications of AI content moderation). Ensure regulatory compliance: Learn the necessary steps to ensure that an organization’s AI systems comply with existing regulations. (Measure: Ability to outline a compliance roadmap for AI systems). Facilitate organizational AI adoption: Address and overcome internal challenges, such as organizational culture and skill gaps, to enable successful AI system implementation. (Measure: Ability to design and implement a strategy for organizational AI readiness).

Write a review

About the Author

Tony de Bree