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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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InclusivAI™ Legal-Geofence Shield
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.

  • The Business Case: Legal, Reputational, and Financial Risks of Biased AI

  • The Human Factor: How Unconscious Bias Becomes Algorithmic Bias

  • 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.

  • Drafting AI Policies that Meet EEOC, FEHA, and Global Standards

  • The Audit Trail: Creating Court-Ready Documentation

  • 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.

  • Identifying Bias in Data: Hands-on Analysis 

  • Algorithmic Fairness: Implementing Techniques (Adversarial Debiasing, Re-weighting)

  • 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.

  • Writing Bias-Free Job Descriptions and Performance Metrics

  • Red-Teaming HR AI: How to Stress-Test for Equity

  • 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.

  • The ROI of Ethical AI: Investor, ESG, and Brand Perspectives

  • Building an AI Ethics Board: Charter, Membership, and Authority

  • 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.​

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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: 

  • Recognize the 5 behavioral patterns of non-compliant AI (K.A.R.E.N.x)™

  • Map algorithmic risks to legal frameworks (Title VII, FEHA, EU AI Act)

  • Conduct initial risk assessments using TK Law’s AI KARENx™ Scorecard

Deliverable:

  • "AI KARENx™ Spotter" digital badge

  • 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: 

  • Implement fairness-aware algorithms (e.g., adversarial debiasing)

  • Build transparent ML pipelines with audit trails

  • Develop continuous monitoring dashboards

Lab Exercises:

  • Red Team Simulation: Poison a model with bias—then fix it

  • Explainability Sprint

  • Drift Detection: Code 

Toolkit:

  • 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: 

  • "The KARENx™ Crisis": Manage a PR/legal disaster after biased AI goes viral

  • Boardroom Negotiation: Advocate for ethics budgets amid cost pressures

Deliverable:

  • "AI Governance Charter" template for board adoption

  • Crisis communication playbook

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CORE MODULES & CURRICULUM

CERTIFICATION PROGRAM:
"AI Compliance Auditor"

Audience: Lawyers, Consultants, Internal Auditors

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Format: 6-week cohort-based certification

 

Objective: 

  • Lead full-scale AI compliance audits

  • Draft legally defensible audit reports

  • Testify as expert witnesses on algorithmic fairness

Capstone Project:

  • Conduct a real-world audit for a mock company

  • Defend findings in a simulated deposition

Credential:

  • TK Law Certified AI Compliance Auditor (CAICA)

  • 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)

  • Case studies of recent AI discrimination settlements

  • Live Q&A with TK Law’s litigation team

Premium Tier:

  • AI Policy Library: Annotated statutes/regulations

  • Model Contract Clauses: For vendor AI compliance

ARE YOU PREPARED FOR THIS NEW ERA OF AI LIABILITY?
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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!
ALGORITHMIC BIAS: ENTERTAINMENT INDUSTRY
ALGORITHMIC BIAS: LABOR
ALGORITHMIC BIAS: LAND & WATER RIGHTS
ALGORITHMIC BIAS: CA LA FIRMS
ALGORITHMIC BIAS: LAW ENFORCEMENT
ALGORITHMIC BIAS: EDUCATION
ALGORITHMIC-BIAS
ALGORITHMIC BIAS: TECH INDUSTRY
ALGORITHMIC BIAS IN HEALTHCARE
ALGORITHMIC BIAS: HUMAN RESOURCES
ALGORITHMIC BIAS: CA STATE BAR
ALGORITHMIC BIAS: TALENT ACQUISITION
ALGORITHMIC BIAS: MEDIA
CLICK ON A CARD
CLICK ON A CARD
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: 

"Tia tiene una de las mentes legales más brillantes que jamás haya visto. Su intelecto sólo se compara con su integridad".

"Tia Kemokai es una abogada excelente que no solo es una excelente escritora, sino que se relaciona de manera efectiva con las personas y los jueces. Es una apasionada de sus clientes y es tan dura como las uñas cuando necesita serlo. Tia es una fuerte defensora oral y cualquier persona tendría suerte de tenerla como abogada ".

"La integridad y el talento juntos crean excelencia. La Sra. Kemokai ha unido ambos para convertirse en una fuerza en la comunidad legal".

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Tiangay Kemokai Law, P.C.

© 2021 por Tiangay Kemokai Law, PC El abogado Tiangay Kemokai es responsable del contenido de este sitio web, que puede contener un anuncio. La información en este sitio web no constituye una relación abogado-cliente y no se forma una relación abogado-cliente hasta que se hayan aclarado los conflictos y ambas partes hayan firmado un acuerdo de honorarios por escrito. Los materiales y la información de este sitio web son solo para fines informativos y no deben considerarse asesoramiento legal. LOS RESULTADOS ANTERIORES NO GARANTIZAN RESULTADOS FUTUROS. Cualquier testimonio o respaldo no constituye una garantía, garantía o predicción con respecto al resultado de su asunto legal.

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