Take Practical Steps to reduce the risk of your AI initiatives

Ethical & Responsible AI Framework DeveloPMENT
Quick Start Workshop

A "Quickstart" to developing practical, comprehensive, and usable ethical & Responsible frameworks for
AI & advanced data
Projects of Any Size

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Ethical & Responsible AI

Do you have proper controls on your AI systems? Have you considered laws on privacy and emerging regulations  that might stop your AI projects? Are you letting your data scientists and developers expose you to significant risk?

The liability and risk of AI systems doing the wrong things and causing harm are significant. Develop comprehensive, practical frameworks that will let you realize the ROI of AI without the risks.

Some of the organizations that have been through Cognilytica training & certification:

Practical, Comprehensive, and immediately applicable

Comprehensive

Covers the full range of ethical and responsible needs in a practical framework

Immediately Applicable

Provides tools, frameworks, checklists, and a "quickstart" to apply to your AI initiatives today

Flexible and Adaptable

Frameworks are tailored and adaptable to differe.nt organizational and AI project needs

Vendor-Neutral

Best practices based on end-user needs that supports diverse technology solutions

Best Practices Based

Proven over and over in real-world adoption. Learn from other's successes and failures.

Continuously Updated

Training and certification keeps up with continuous changes to laws, regulations, and emerging best practices.

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Worldwide Frameworks Evaluated
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Organizations Certified
%+
Improvement in Compliance

The Core Elements of Ethical & Responsible AI Framework Development

Best Practices Based & Immediately Applicable

Cognilytica's Practical & Comprehensive Ethical & Responsible AI Framework Development Training & Certification provides a comprehensive deep dive into the components of ethical & responsible AI frameworks. Based on over 60 worldwide frameworks for ethical & responsible AI, the training provides a guided, step by step approach for crafting an implementable Ethical and responsible AI framework that is immediately applicable and adaptable to your needs.

What will I learn?

  • Why are ethical and responsible AI systems necessary?
  • Addressing fears & concerns about AI
  • Addressing issues of bias and human induced error
  • Understanding the Limits of Current AI Technology
  • The necessity of keeping the human in the loop
  • The data-centricity of AI
  • Risks associated with the use of AI
  • AI Introduces new Threat Vectors
  • The cost of non-compliance
  • Awareness of the need for data privacy and legally compliant data use
  • Applying the Cognilytica Comprehensive Ethical & Responsible AI Framework
  • Making sure systems comply with basic human values
  • Data and AI system fairness
  • The great potential for AI system bias
  • Issues of diversity and inclusion in data
  • Case studies across all Ethical areas
  • Responsible vs. Ethical AI
  • Misuse and Abuse of AI Systems
  • Compliance with rapidly evolving laws and regulations around AI and data
  • Maintaining AI system safety & security
  • Putting into place a chain of command: human accountability
  • AI System transparency vs. algorithmic transparency
  • Implementing AI System Transparency
  • AI system risk assessment & mitigation
  • AI System Controls: development, training, implementation, and inference
  • AI System Monitoring
  • The need for algorithmic explainability for different AI use cases and patterns
  • Current state of worldwide data and AI laws and regulations
  • Planning for continued evolution of AI and data laws
  • Organizational change management for ethical and responsible AI practices
  • The AI governance team
  • Applying ethical & responsible AI at scale

Module 1: Introduction to Ethical and Responsible AI

Maintaining AI system Trust

  • Why is ethical & responsible AI necessary?
  • Addressing fears & concerns about AI
  • Addressing issues of bias & human error
  • AI reality vs AI science fiction
  • The necessity of keeping the human in the loop
  • The data-centricity of AI
  • Risks associated with the use of AI
  • AI Introduces new Threat Vectors
  • Data compliance with AI
  • register for ethical & Responsible AI training & certification

    Module 2: Societal Ethical AI Principles

    Do no harm with AI

  • Making sure systems comply with human values
  • Keeping AI systems under human control
  • Data and AI system fairness
  • Issues of diversity and inclusion in data
  • Making sure AI systems don’t run amok
  • Case studies of Societal AI ethics gone wrong
  • Examples of applications of Societal Ethical AI
  • Applying the Comprehensive Ethical & Responsible AI Framework
  • register for ethical & Responsible AI training & certification

    Module 3: Responsible AI Practices

    Safe & Sound AI Systems

  • Misuse and Abuse of AI Systems
  • Rapidly evolving AI & data laws & regulations
  • Maintaining AI system safety & security
  • Maintaining AI system trust
  • Putting into place human accountability
  • Dealing AI-caused workforce disruption
  • Case studies in Responsible AI
  • Applying the Comprehensive Ethical & Responsible AI Framework
  • register for ethical & Responsible AI training & certification

    Module 4: AI System Transparency

    Visibility into AI Systems

  • Scope of the AI data and decisions
  • AI system vs. algorithmic transparency
  • Open AI systems
  • Methods of Bias Measurement & Mitigation
  • AI and data disclosures
  • AI system consent
  • Case studies of AI system transparency
  • Implementing AI System Transparency
  • AI Transparency Principles
  • register for ethical & Responsible AI training & certification

    Module 5: AI System Governance

    Responsible AI Practices

  • AI system risk assessment & mitigation
  • AI System Auditability
  • AI System Controls
  • AI System Monitoring
  • AI System Quality Verification
  • Case studies of AI system governance
  • Applying the Cognilytica Ethical & Responsible AI Framework for AI Governance Principles
  • register for ethical & Responsible AI training & certification

    Module 6: Algorithmic Interpretability & Explainability

    Making AI Understandable

  • The AI “black box”
  • Algorithmic Explainability & Interpretability
  • The challenges of “Algorithmic Discrimination”
  • Opacity of different AI algorithms
  • Approaches to algorithmic explainability
  • Case studies of AI algorithmic explainability
  • Applying the Cognilytica Ethical & Responsible AI Framework for Algorithmic Transparency
  • register for ethical & Responsible AI training & certification

    Module 7: Data and AI laws & regulations

    Staying in COMPLIANCE

  • Current worldwide data and AI regulations
  • Facial Recognition and Computer Vision Laws
  • AI-Relevant Data Privacy Laws and Regulations
  • Autonomous Vehicle Laws and Regulations
  • Laws and Regulations Pertaining to AI Fairness
  • Malicious AI and AI-Enabled Forgery and Fakery
  • Specific examples of AI and data laws and regulations in use and enforcement
  • Planning for continued evolution of AI laws
  • register for ethical & Responsible AI training & certification

    Module 8: Putting Ethical & Responsible AI into Practice

    Practical Implementation

  • Organizational change management needs
  • AI governance teams & centers of excellence
  • Case studies in ethical & responsible AI teams
  • Putting ethical AI practices into place
  • Technology solutions for ethical AI
  • Applying ethical & responsible AI at scale
  • Roadblocks to ethical AI implementation
  • Mitigating ethical AI and data challenges
  • register for ethical & Responsible AI training & certification

    Who is this Workshop for?

    This workshop is for a wide range of roles and responsibilities including:

    • Executives & Decision-Makers
    • Compliance managers
    • AI Governance teams
    • AI Centers of Excellence
    • General Counsel & corporate law
    • Data science teams
    • Project Managers
    • Product Managers
    • Capability Managers
    • Acquisitions Managers
    • Procurement & Contracting Officers
    • Developers
    • AI & ML engineers
    • AI Assurance Engineer
    • Operations Research Analysts
    • Deployment Engineer
    • Knowledge Operations Managers
    • Information Technicians

    Virtual, Self-Paced Training and Certification as well as Live Instructor Options

    Cognilytica training is offered primarily as a virtual, self-paced solution that is constantly updated to meet growing and dynamic needs of the market. Cognilytica also offers live instructor models in both virtual and in-person modes depending on needs, schedule, budget, and availability. Inquire for details and required minimum enrollment for live instructor options.

    Real People and Real Organizations getting Real Value

    What is included in this training & certification?

    • 24 hours of self-paced instruction
    • 12 automatically graded exercises
    • Ethical & Responsible AI Certification included
    • “Quick Start” Comprehensive Ethical & Responsible AI Framework
    • Checklists for each aspect of ethical & responsible AI
    • Certification Badges you can share on your social media and professional profile
    • Opportunities to participate in ethical & responsible AI vendor partner programs
    • Opportunities to connect with other ethical & responsible AI trainees

    But wait… there’s more!

    Groups of five or more from the same org. that register get:

    • Checklists to evaluate vendor ethical compliance
    • Guided Questions and Decision Factors to help you evaluate vendor solutions to support ethical & responsible AI initiatives
    • Discounts for course enrollment
    Groups of ten or more from the same org. that register get:
    • Six (6) one-hour virtual “office hours” for additional guidance and assistance with training
    • Even more discounts

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