آموزش هوش مصنوعی مسئولانه و حاکمیت شرکتی برای سازمان‌های مدرن - آخرین آپدیت

سرفصل ها و درس ها

Introduction to Foundations of AI Business Ethics

• Introduction to AI – Machine Learning & Generative Models

• Detective vs. Author — Choosing the Right AI

• Why Ethics is a Business Imperative

• The Trust Ledger — Ethics as Business Currency

• Core Ethical Theories & Trade offs

• The Complaint — Bias in Hiring Automation

• Six Global Principles of Responsible AI

• FinCorp Fairness Audit

• Stakeholders Across the AI Lifecycle

• Foundations of AI Business Ethics

Core Ethical Challenges in AI

• Sources of Bias in AI

• The Hidden Doors — Tracing Sources of Bias

• Bias Mitigation Techniques & Case Study

• From Tweets to Playbook — Apple Card Case Study & Mitigation

• Privacy & Data Governance for AI

• Map, Minimize, and Protect — Privacy & Data Governance for AI

• Cybersecurity in the AI Era

• Transparency & Explainability (XAI)

• Opening the Black Box — Explainability & Customer Recourse

• Accountability & Human Oversight

• Core Ethical Challenges in AI

Governance, Regulation & Compliance

• Elements of AI Governance

• The Blueprint Debate — Building the AI Governance Operating Model

• Policy Architecture for Responsible AI

• From Policy to Playbook — Operationalizing Responsible AI

• Phased AI Governance: From Theory to Tangible Impact

• From Playbook to Practice — Rolling Out AI Governance Phases 1–3

• Phased Implementation & Case Study: From Playbook to Practice

• Global Regulatory Landscape

• The Audit Drill — Regulator-Ready Assurance and Evidence Packs

• Internal Assurance & AI Audit

• Governance, Regulation & Compliance

Business & Societal Impact

• Workforce Transformation

• The Heatmap Conversation — Reskilling in the Age of AI

• Building an Ethical AI Culture

• The Incentive Dilemma — Turning Ethics into Everyday Behavior

• Inclusiveness & Digital Divide

• The Access Gap — Closing the Digital Divide in EdTech

• Recommender Dynamics & Harms

• Countermeasures & Case Vignette

• Sustainability & Environmental Impact

• The Energy Ledger — Measuring AI’s Environmental Footprint

• Business & Societal Impact

Product Lifecycle & Operationalization

• Ethical Product Discovery

• The Pause That Saved a Life — Ethical Product Discovery at HealthForward

• Data & Model Development Controls

• Data Chaos to Discipline — Implementing Development Controls

• Security/Privacy Pre deploy Checks

• The Red Team Verdict — Gating a Risky Launch

• Red Teaming & Safety Testing

• Deployment & Monitoring

• The Drift Alert — Incident Response in Live AI Systems

• Incident Management & User Recourse

• Product Lifecycle & Operationalization

Legal Alignment & Strategic Integration

• Mapping Internal Controls to Global Frameworks

• The Translation Gap — Mapping Controls Across Frameworks

• Documentation for Regulators & Partners

• The Flight Recorder — Building Regulator-Ready Evidence Packs

• Third-party & Procurement Governance

• The Vendor Showdown — Third-Party AI Risk Negotiation

• Board Reporting & KPIs

• The Dashboard Debate — Reporting AI Risk to the Board

• Ethics Review Councils

• Legal Alignment & Strategic Integration

Project - Responsible AI Playbook

• Drafting the AI Ethics Charter

• The Charter Showdown — Securing Leadership Buy-In

• Building the Control Library

• The Missing Link — Operationalizing the Control Library

• Creating the Lifecycle Checklist

• The Gatekeeper’s Dilemma — Enforcing Lifecycle Checkpoints

• Monitoring & Incident Runbooks

• The Red Alert — Executing the AI Incident Runbook

• Executive Adoption Plan

• Quiz