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IEEE CertifAIEd™ Assessor Training
December 2-5, 2024

Deepen your knowledge of social responsibility in autonomous intelligent systems and the IEEE CertifAIEd™ approach. 
  • Dates: December 2-5, 2024
  • Duration:  3.5 days 
  • Time: 09:00 - 17:30 Central European Standard Time Zone (GMT +1)
  • Lanugage: English
  • Payment: Pay by credit card, PayPal, or bank transfer

About the Event

Deepen your knowledge of social responsibility in autonomous intelligent systems and the IEEE CertifAIEd™ approach. This comprehensive course covers everything from the basics of AI Ethics to specific ethical requirements for the key areas of Ethical Transparency, Ethical Privacy, Ethical Accountability, and Ethical Algorithmic Bias. Engage with a community of AI Ethics experts and pave your path to becoming an IEEE CertifAIEd™ Authorized Assessor.

Pricing Details

  • EU Early Bird Ticket: €2,969.05 (Includes €474.05 VAT) - Available until 4 November 2024
  • Non-EU Early Bird Ticket: €2,495.00 (No VAT) - Available until 4 November 2024
  • EU Standard Ticket: €3,564.05 (Includes €569.05 VAT)
  • Non-EU Standard Ticket: €2,995.00 (No VAT)


Exclusive Offer

Early Bird pricing is permanently available for academic, government, and non-profit organizations.

Please contact us before purchasing to apply these discounts and to determine your final discounted price based on the type of ticket and eligibility.

What's included?

  • Interactive, Engaging Learning

    Enjoy interactive, engaging sessions that allow you to immediately apply your knowledge in hands-on workshops and exercises

  • Live Video Format

    Learn from our expert instructors from the comfort of your own home or office 

  • Discuss with others

    Network and meet other experts in your field while gaining new skills and knowledge
Meet the instructor

Dr. Allison Fisher

Allison is a seasoned leader and educator with a passion for agile learning and ethical AI and over 20 years of expertise in leadership, curriculum design, instruction, and building and scaling training programs. After spending 15 years in academia as a university professor and Dean, she transitioned to the field of AI, working with clients to integrate AI applications into education programs, and then as the Head of AI Academy, building an AI Academy from scratch in 18 months, resulting in large-scale training initiatives for renowned companies. Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.
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Firdaus Azman

Firdaus is a professional in the field of digital technologies and policy, with hands-on experience in AI Ethics as an AI Ethics-Lead Assessor, AI Ethics-Assessment Trainer, and AI-standards maker and researcher. He possesses a master degree in Digital Technologies and Policy from University College London (UCL) with Distinction. Through his previous research roles for an IoT Systems Cybersecurity research consortium and a standards body in the UK, he has led, supported, and delivered various research projects for high-profile stakeholders. Additionally, he has demonstrated achievements in the technology industry, particularly in client advisory, education, digital operations and analysis. He is presently engaged with global-experts, businesses, and academia in exploring challenges and opportunities within the field of AI Ethics. Firdaus is particularly committed in helping global-firms and developing-nations to uncover practical solutions for safe, trustworthy, and responsible AI.

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