AI Safety for Enterprises: Compliance and Risk Management (Udemy.com)

AI is the best way to accelerate and automate business processes. That’s why we use it EVERY SINGLE DAY.

But do you know how many things can go terribly wrong?

Every time an employee copies information into ChatGPT without thinking, your company is one click away from a data breach, a multimillion-dollar fine, or a discrimination lawsuit.

And here’s the problem: most teams use AI…

• … without understanding current regulations

• … without knowing what data is considered sensitive

• … without verifying AI-generated information

• … without clear decision-making protocols

The good news? Preventing these risks is 100 times cheaper than fixing them after they happen.

Why is this course essential for your company?

Europe already has mandatory AI regulations in force since 2024. The EU AI Act classifies AI systems by risk level and establishes specific obligations. Non-compliance can result in fines of up to 4% of global annual revenue.

The United States is regulating AI state by state. California, New York, and others already have laws governing AI use in hiring, credit evaluation, and data protection.

Latin America is following the European model. Brazil leads with Bill PL 2338/2023, while Argentina, Chile, Mexico, and Colombia are developing their own regulations.

Your company needs to comply. Now.

Not just to avoid fines, but to:

• Protect your brand reputation

• Prevent employment lawsuits due to discriminatory bias

• Ensure customer trust

• Build a competitive advantage through strong AI policies

What makes this course unique

• This is NOT a technical course. It is designed specifically for non-technical corporate professionals: HR, Legal, Marketing, Finance, Sales, Managers—anyone using AI at work.

• This is NOT abstract theory. You get practical protocols you can apply TODAY in your daily work.

• This is NOT just about regulations. You’ll understand the “why” behind every rule, through real-world cases where companies made costly mistakes—and how to avoid them.

What you’ll learn in this course

MODULE 1: The AI Risk Overview

You’ll identify the 5 critical AI risks that keep Legal and HR departments awake at night:

• Confidential data leaks

• Intellectual property violations

• Bias and discrimination

• Hallucinations and flawed decisions

• Dependency and loss of control

• And you’ll understand why prevention is 100x cheaper than remediation.

MODULE 2: The Global Regulatory Framework

You’ll master the most important AI regulations worldwide:

• EU AI Act: The risk-based classification system (prohibited, high, limited, minimal), the specific obligations for each category (the 4 Ps: Prevention, Purpose, People, Proof), and the implementation timelines that are already in effect.

• GDPR: Article 22 on automated decision-making, how AI intersects with data protection, consent, and the right to be forgotten as applied to AI systems.

• United States: The fragmented regulatory landscape (federal vs. state), California’s CPRA, New York’s Local Law 144 on bias in hiring, and federal executive orders.

• Latin America: Brazil’s PL 2338/2023 (the most advanced in the region), Argentina, Chile, Mexico, and Colombia, and the clear trend toward convergence with the European model.

• The common denominator: The universal principles being adopted globally — transparency, non-discrimination, human oversight, and accountability.

  
  

MODULE 3: Safe AI Usage Protocol

This is the practical core of the course. You will gain tools you can apply immediately:

• The 3-Step Decision Framework: A simple protocol to decide in 30 seconds whether you can use AI for a specific task:

  • What type of information will I use?

  • What type of decision am I making?

  • What is the real level of risk?

• The Red List: What data must NEVER be shared with public AI tools (personal data, customer data, trade secrets, financial information, employee data), and safe alternatives (proper anonymization, synthetic data, corporate AI tools).

• Hallucination Detection: The 5 warning signs when AI is making up information, and a three-level verification protocol based on the impact of each decision.

• Intellectual Property: The current legal debate around ownership of AI-generated content, when it can be used commercially, how to protect your IP, and the policies of different tools (ChatGPT, Claude, Copilot, Midjourney).

• Bias: How to identify and mitigate bias in critical areas (HR, credit, legal), with practical strategies such as diversifying inputs, testing multiple tools, mandatory human review, and periodic audits.

MODULE 4: Practical Implementation

You will consolidate everything through integrated case studies and a clear action plan:

• 3 Multi-Jurisdictional Case Studies:

  • Marketing agency in Madrid (GDPR and customer data)

  • Fintech in São Paulo (automated decisions and Brazil’s LGPD)

  • Tech startup in Miami (intellectual property of AI-generated code)

• 5-Step Implementation Plan:

  • Audit current AI usage within your organization

  • Establish internal AI policies (editable template included)

  • Train the team

  • Implement the Decision Framework

  • Ongoing monitoring and continuous updates

• Roles and Responsibilities: Who does what in each department (CEO, Legal, HR, IT, Managers, Employees).

  
  

  Downloadable Resources Included (10 PDFs/Documents):

  • The 5 AI Risks: Self-Assessment Checklist

  • Compliance Matrix: What Applies to My Organization?

  • Decision Framework Poster (printable)

  • Output Verification Checklist (3 levels)

  • Red List: Data You Must NEVER Share with AI

  • AI Usage Policy Template for Companies (editable Word file)

  • 30-Day Implementation Plan