IEEE CertifAIEd™ Professional Certification Training

Mastering AI Ethics

IEEE CertifAIEd™ AI Ethics Professional Training

Empower Your Career with Expert-Led AI Ethics Training

IEEE CertifAIEd™ is the certification program that assesses the ethics of Autonomous Intelligent Systems (AIS), helping organizations enhance AIS trustworthiness and gain certification. This certification signifies a commitment to delivering a more trustworthy AIS experience to users.

This remote, synchronous course combines Virtual Instructor-Led Training with interactive learning to equip you with practical skills in AI ethics, global governance, and the CertifAIEd Criteria Suites. Designed for professionals working with or impacted by AI systems – including risk, compliance, technical, and policy roles – the course prepares participants to take the IEEE CertifAIEd AI Ethics Professional Certification Exam.

RightMinded AI is an authorized training partner of IEEE Standards Association.

Training Highlights

Gain a comprehensive understanding of the principles of AI ethics, global governance developments, and the IEEE CertifAIEd certification process.

Apply the Ethics Profiling method through hands-on workshops to evaluate ethical risks and impacts in real-world AI use cases.

Prepare for the IEEE CertifAIEd AI Ethics Professional Certification Exam.

Who This Training Is For

This course is designed for professionals involved in or affected by AI-driven work, including those in risk and compliance roles, HR, legal, insurance, quality management, AI development, policy and regulation, and organizations seeking to build internal AI ethics expertise.

Eligibility: Entry into the program includes a brief pre-screening based on relevant experience or education in AI, ethics, technology, or related domains.

Note: All accepted participants must complete a mandatory self-guided preparatory module before the live training.

Why Choose This Program?

Learn key AI ethics principles and the IEEE CertifAIEd framework
Contribute to advancing responsible and trustworthy AI>
Tailored for professionals across compliance, technical, governance, and advisory roles
Work through practical exercises that develop your ability to identify ethical risks and values in AI systems

This program provides the essential foundation for understanding and evaluating the ethical dimensions of AI systems. It equips you with practical methods, structured frameworks, and the confidence to navigate ethical challenges and support responsible AI development. Completion of the course prepares you to take the IEEE CertifAIEd AI Ethics Professional Certification Exam.

Mario was an outstanding coach in IEEE CertifAIEd Authorized Assessor training. He explained complex AI ethics topics clearly and made the training engaging with real examples. Overall, IEEE CertifAIEd training was very relevant for my work and I highly recommend it to anyone interested in AI ethics.

Mario was great. Much of my academic work is about ethics, rights and law, but the value of the course (and Mario) is at the application level, i.e. actively doing ethics in relation to the specifics of technology, data processing and organisations. On my experience of the course, Mario was friendly, good humoured, responsive, and very organised. Very happy to recommend both Mario and the IEEE CertifAIEd training programme.

The IEEE CertifAIEd Authorized Assessor Training offered an exceptional training experience. The blend of theory and hands-on application exceeded expectations, providing valuable insights for practical AI solutions. I highly recommend CertifAIEd to those seeking comprehensive AI understanding from a true industry expert.

IEEE CertifAIEd’s Ethical Criteria

In an era where Autonomous Intelligent Systems (AIS) are increasingly prevalent, the IEEE CertifAIEd certification program emerges as a pivotal framework for ensuring ethical AI. By focusing on four key ethical criteria – ethical privacy, algorithmic bias, transparency, and accountability – IEEE CertifAIEd sets the bar for responsible AI deployment.

Transparency
Transparency in AI dismantles the ‘black box’ phenomenon, demanding that AI systems are understandable to users. This involves clear communication about how decisions are made, allowing for scrutiny and trust. It also entails documentation and explainability, ensuring that AI decisions can be traced and understood.

Accountability
Accountability in AI is about ensuring there are clear lines of responsibility. This criterion focuses on the ability to trace decisions back to the AI system and its operators, ensuring that there are established protocols for error correction, feedback, and continuous improvement.

Ethical Privacy
The cornerstone of ethical privacy in AI revolves around safeguarding user data, demanding robust protocols to prevent unauthorized data access or misuse. This criterion stresses the importance of consent, encryption, and strict access controls, ensuring that AI systems do not become invasive or harmful.

Algorithmic Bias
Algorithmic bias can inadvertently perpetuate inequalities. IEEE CertifAIEd scrutinizes AI systems for any form of bias, be it race, gender, or socioeconomic status. The aim is to create AI systems that offer unbiased, fair decision-making, contributing to a more equitable society.

Extending these principles further, IEEE CertifAIEd promotes a culture of continuous ethical evaluation. It’s not just about meeting standards at a single point in time; it’s about fostering an ongoing commitment to ethical AI.

The certification process also serves as an educational tool, guiding AI developers and users in understanding the profound impact of their work. It raises awareness about ethical considerations in AI and promotes a dialogue between technologists, ethicists, and the general public.

Moreover, IEEE CertifAIEd’s ethical criteria have broader implications for policy and regulation. They offer a template for lawmakers and regulators to understand and shape AI’s role in society. This is particularly relevant as AI continues to permeate sectors like healthcare, finance, and law enforcement.

In conclusion, IEEE CertifAIEd’s ethical criteria form a comprehensive framework that not only evaluates AI systems but also shapes the narrative around ethical AI development. As AI becomes increasingly integrated into our daily lives, the need for such ethical guidelines will only grow. Programs like IEEE CertifAIEd play a crucial role in ensuring that AI advancements are aligned with the greater good, prioritizing human values and societal wellbeing.

Your trainers

Our team of experienced trainers is committed to empowering you with the knowledge and skills you need to become an IEEE CertifAIEd™ Authorized Assessor. With years of experience in the field of AI and machine learning, our instructors are experts in their respective fields.

Katie Evans is a renowned Consultant in Ethics of AI and a PhD in Philosophy, known for her pivotal role in developing UNESCO’s Graphic Novel for AI Literacy. Her expertise spans AI policy, ethics, and sustainability, significantly influencing international AI standards and ethical frameworks.

Katie Evans

IEEE CertifAIEd™ Trainer

Mario Tokarz is a distinguished AI Quality Advocate and Agile Strategist with over 15 years of international experience in software development, AI, and automotive industries. He empowers organizations to build ethical and high-quality AI solutions, leveraging his expertise in program management and ethical AI development.

Mario Tokarz

IEEE CertifAIEd™ Trainer

Patricia Shaw, CEO von Beyond Reach Consulting UK, ist spezialisiert auf verantwortungsvollen Einsatz von KI und Corporate Digital Responsibility. Als erfahrene Daten- und Technologieanwältin berät sie zu KI-Ethik und gilt als führende Persönlichkeit in der KI-Ethik und britischen Technologiebranche.

Trish Shaw

IEEE CertifAIEd™ Trainer

With over 20 years of leadership experience in the healthcare industry, Aleksandar has dedicated his entire career to the question of how people can trust machines. He is a leading expert in the responsible use of AI, a certified AI assessor with the IEEE, and the co-founder and CEO of TrustVector in Chicago. He helps organizations design and deploy trustworthy AI solutions.

Aleksandar Jevtic

IEEE CertifAIEd™ Trainer

Ruth Lewis, an experienced IT strategist and engineer in Melbourne, specializes in ethical technology use in business and society. With 30 years in IT solution development, she focuses on new technologies, managed services, and innovative governance. Ruth champions ethical, sustainable tech development and guides clients towards informed, future-oriented decisions.

Ruth Lewis

IEEE CertifAIEd™ Trainer

Training Schedule

Day 1: Introduction to IEEE CertifAIEd

Welcome and Warm-up
Introduction to AI Ethics
Overview of global AI governance
Introduction to the IEEE CertifAIEd Criteria Suites
Introduction to the Ethics Profiling method

Day 2: Transparency and Accountability

Introduction to the Ethical Transparency Criteria Suite
Introduction to the Ethical Accountability Criteria Suite
Use case workshops: Collaborative exploration and dynamic discussions to deepen practical understanding.

Day 3: Privacy and Algorithmic Bias

Introduction to the Ethical Privacy Criteria Suite
Introduction to the Algorithmic Bias Criteria Suite
Use case workshops: Collaborative exploration and dynamic discussions to deepen practical understanding.
Exam Preparation

After completing the course, participants take the IEEE CertifAIEd AI Ethics Professional Certification Exam independently online.

Agenda may be subject to change. Final version included in course materials.