InclusivAI™:
A Legal, Ethical, and Equity-driven AI Training & Compliance Suite
A Human Layer of Defense Against Algorithmic Liability
InclusivAI™: AI TRAINING & COMPLIANCE
This isn't just training; it's organizational transformation packaged as an actionable suite.
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A modular, cohort-based certification program that equips cross-functional teams — legal, HR, data science, and leadership — to collaboratively build, govern, and audit AI systems that are both innovative and inclusive.
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CORE MODULES & CURRICULUM
FOUNDATIONS FOR
EQUITY-DRIVEN AI
Audience: All Participants (Legal, HR, Tech, Leadership)
Objective: Establish a shared language and urgency around AI bias.
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The Business Case: Legal, Reputational, and Financial Risks of Biased AI
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The Human Factor: How Unconscious Bias Becomes Algorithmic Bias
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The Regulatory Landscape: From GDPR and the EU AI Act to CA (TFAIA)
Capstone Activity: The "AI KARENx™" Diagnostic - Teams assess a real-world case study using the 5-point checklist.
LEGAL, EQUITABLE & ETHICAL GOVERNANCE
Audience: General Counsel, Compliance Officers, Ethics Leads
Objective: Build a legally defensible AI governance framework.
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Drafting AI Policies that Meet EEOC, FEHA, and Global Standards
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The Audit Trail: Creating Court-Ready Documentation
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Incident Response: Managing an AI Discrimination Crisis
Capstone Activity: Draft a Motion to Dismiss based on robust AI governance documentation.
TECHNICAL DE-BIASING
Audience: ML Engineers, Data Scientists, IT Leaders
Objective: Implement practical, fairness-aware AI development.
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Identifying Bias in Data: Hands-on Analysis
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Algorithmic Fairness: Implementing Techniques (Adversarial Debiasing, Re-weighting)
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Explainability (XAI): How to Interpret Model Outputs
Capstone Activity: "Debug a Biased Model" - Participants receive a skewed dataset and must correct it.
INCLUSIVE DESIGN & HR INTEGRATION
Audience: Chief HR Officers, DEI Directors, Talent Acquisition
Objective: Embed DE&I into the AI lifecycle from requirement to review.
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Writing Bias-Free Job Descriptions and Performance Metrics
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Red-Teaming HR AI: How to Stress-Test for Equity
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Managing the "Human-in-the-Loop": Training Staff on AI Oversight
Capstone Activity: Develop a "Bias Response Protocol" for hiring managers.
LEADERSHIP & CULTURE
Audience: C-Suite, VPs, Directors
Objective: Lead cultural shift and allocate resources for legal, equitable, and ethical AI.
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The ROI of Ethical AI: Investor, ESG, and Brand Perspectives
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Building an AI Ethics Board: Charter, Membership, and Authority
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Communicating AI Ethics to Stakeholders
Capstone Activity: Participate in a simulated board meeting to secure budget for AI compliance.
AI KARENx™ COMPLIANCE TRAINING
AI KARENx™ Compliance Training Suite: De-biasing your systems starts with de-biasing your teams.
Don't just train your AI. Train the people who build, buy, and manage it.​
CORE MODULES & CURRICULUM
FOUNDATIONAL COURSE: "Identifying AI KARENx"
Audience: HR Managers, Legal Counsel, Compliance Officers
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Format: 4-hour virtual workshop + self-assessment quiz
Objective:
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Recognize the 5 behavioral patterns of non-compliant AI (K.A.R.E.N.x)™
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Map algorithmic risks to legal frameworks (Title VII, FEHA, EU AI Act)
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Conduct initial risk assessments using TK Law’s AI KARENx™ Scorecard
Deliverable:
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"AI KARENx™ Spotter" digital badge
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Customized risk report for participant’s organization
TECHNICAL DEEP DIVE:
"De-Biasing AI Systems"
Audience: Data Scientists, ML Engineers, IT Leaders
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Format: 2-day technical workshop + hands-on lab
Objective:
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Implement fairness-aware algorithms (e.g., adversarial debiasing)
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Build transparent ML pipelines with audit trails
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Develop continuous monitoring dashboards
Lab Exercises:
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Red Team Simulation: Poison a model with bias—then fix it
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Explainability Sprint
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Drift Detection: Code
Toolkit:
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TK Law’s Fairness SDK
LEADERSHIP & GOVERNANCE: "The Ethical AI Board"
Audience: C-Suite, General Counsel, DEI Leaders
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Format: 2-day executive retreat + crisis simulation
Simulation:
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"The KARENx™ Crisis": Manage a PR/legal disaster after biased AI goes viral
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Boardroom Negotiation: Advocate for ethics budgets amid cost pressures
Deliverable:
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"AI Governance Charter" template for board adoption
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Crisis communication playbook
CORE MODULES & CURRICULUM
CERTIFICATION PROGRAM:
"AI Compliance Auditor"
Audience: Lawyers, Consultants, Internal Auditors
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Format: 6-week cohort-based certification
Objective:
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Lead full-scale AI compliance audits
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Draft legally defensible audit reports
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Testify as expert witnesses on algorithmic fairness
Capstone Project:
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Conduct a real-world audit for a mock company
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Defend findings in a simulated deposition
Credential:
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TK Law Certified AI Compliance Auditor (CAICA)
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Listed on TK Law’s public registry of vetted auditors
ONGOING LEARNING:
"KARENx Watch" Community
​​Format: Quarterly updates + private forum
Features:
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Regulatory alerts on new AI laws (e.g., CA SB 721)
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Case studies of recent AI discrimination settlements
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Live Q&A with TK Law’s litigation team
Premium Tier:
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AI Policy Library: Annotated statutes/regulations
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Model Contract Clauses: For vendor AI compliance
ARE YOU PREPARED FOR THIS NEW ERA OF AI LIABILITY?
The Mobley v. Workday lawsuit exposed AI’s discrimination risk. Could your systems withstand a class-action challenge? Take our 5-minute risk assessment to determine your legal exposure today!
INDUSTRY-SPECIFIC RISK ASSESSMENT: GET YOUR SCORE TODAY!
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WHY EQUITABLE AND ETHICAL AI MATTERS
June 11, 2025: Catalyst and NYU School of Law's Meltzer Center for Diversity, Inclusion, and Belonging landmark DE&I Report made the following findings:
"83% of C-Suite leaders and 88% of legal leaders say maintaining or expanding DE&I is essential to mitigating legal risk."
"77% of executives link DE&I with financial performance."
76% of employees (and 86% of Gen Z) are more likely to stay with a company that supports DE&I."