Fostering Confidence Through IEEE CertifAIEd™
Trust in AI systems is crucial for their acceptance and adoption. Organizations that earn IEEE CertifAIEd™ certificates for their AI products gain a significant market advantage. This not only builds confidence among your users but also positions you at the forefront of responsible AI adoption.
All organizations, whether they develop, integrate, or operate AI systems, can benefit from IEEE Certification for their products or services. This applies regardless of whether the system is customer-facing or internal.
Achieving Your Vision
Verdas AI brings you unparalleled expertise and support to your certification journey, guiding you through each step to meet and surpass the IEEE CertifAIEd™ program’s ethical benchmarks since 2022.
Case studies
6 Stages to Help Your Company Get CertifAIEd
While we provide a structured framework, our course modules are customized to address the unique challenges and opportunities within your industry, empowering your company to achieve its specific objectives.
Enquiry, Data Collection and Review
The assessed companies/organizations provides information to Verdas AI, including completed Concept of Operations (ConOps) documentation, joint review of information, project scope, roles and responsibilities.
Ethics Profiling
Ethics Profiling and Documentation includes activities such as value elicitation, ethical risk assessment, value clustering and prioritization.
Criteria Suite Prioritization and EFR Selection
Prioritization and Selection of appropriate IEEE CertifAIEd Criteria Suite(s), Ethical Foundational Requirements (EFR), and Customization to be assessed against by Verdas AI. Delivering customized list requirements to the assessed companies/organizations, including evidences that showcase the stated matters above.
Case for Ethics
Collection of required evidence and development of Case for Ethics by the assessed companies/organizations, with the support of Verdas AI.
Verdas AI Assessment and Recommendation
This steps helps you focusing to build AI that is people-first. It’s about stopping harmful biases and setting clear rules for what’s acceptable. To keep AI fair, we need to keep an eye on it at all stages, from start to finish, ensuring it stays on the right track.
Criteria Suite Prioritization and EFR Selection
Prioritization and Selection of appropriate IEEE CertifAIEd Criteria Suite(s), Ethical Foundational Requirements (EFR), and Customization to be assessed against by Verdas AI. Delivering customized list requirements to the assessed companies/organizations, including evidences that showcase the stated matters above.
Be a Part of Ethical Companies Globally
Your Consultants
Our trainers aren’t just academics; they’re seasoned practitioners who understand the practical application of AI and how to maximize your return on investment
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.
Dr. Denise Vandeweijer
Denise is a distinguished alumnus of TU Munich with a background in Mechanical Engineering, later pursued a PhD in Information Systems, enriching her academic repertoire. Her professional journey boasts a decade at BMW, where she played a pivotal role in pioneering autonomous driving initiatives.
After a noteworthy 3-year tenure as the Director of AI Solutions and Projects, Dr. Denise Vandeweijer transitioned into entrepreneurship. As a serial founder in the AI domain, she has consistently pushed the boundaries of what’s possible, emphasizing an “AI-first” approach. Her passion for merging engineering with artificial intelligence makes Dr. Denise Vandeweijer a key figure in the AI industry.
Dr. Fisher’s steadfast commitment to ethical AI and transformative education positions her as a dedicated advocate in shaping the future of technology.