CourseDeveloping Responsible AI Solutions

Ethics play a major role in AI systems. Since AI systems make decisions and the development process is sensitive to bias – ethics is crucial to creating responsible AI solutions.

The standard ISO/IEC/IEEE 24748-7000 lays the foundations for this.

This course teaches how to use integration of ethics and social values in your development process for AI solutions and IT systems using “Value based engineering” (VBE) – an implementation of the international standard ISO/IEC/IEEE 24748-7000.

This course enables you to apply VBE to your development project and lays a foundation for becoming a Value Lead for ethics in product development

The advantages of AI ethics using ISO/IEEE 24748-7000

  • Take ethical aspects into account when designing your AI solutions. This will help you avoid late changes
  • Involve stakeholders at an early stage. New technology raises concerns that are better addressed proactively by engaging in dialog.
  • Use a method developed by practitioners that integrates seamlessly into your existing processes
  • Be ready for the upcoming EU AI Act

Course agenda

We will cover the three phases of developing ethical AI solutions.

1. SOI and context exploration

  • Analyze your System-of-Interest and the context it is used in.
  • Scrutinize 3rd party dependencies (system-of-systems)
  • Create comprehensive documentation.

2. Ethics elicitation

  • Engage with stakeholders directly or indirectly impacted by your planned system.
  • List values affected by involving well defined ethical theories.
  • Aggregate and prioritize core-values impacted.

3. Ethically aligned design

  • Derive Ethical Value Requirements (EVRs) for your technology and your organization
  • Analyse Risks based on EVRs and define measures to control them
  • Consider Certification with respect to your process or your IT system, e.g. with IEEE CertifAIEd.

About the trainer

Mario Tokarz (RightMinded AI) has extensive experience in software team management from concept to product. From start-up to large corporation.

As Engineering Manager for AI in autonomous vehicles, he has a unique view of technical and organizational challenges in scaling companies.

In addition to his business experience, he was one of the drivers behind the definition and adoption of BMW’s open source software policy. This gives him unique insights into implementing corporate governance.

Course date

  • 2-3rd of May (2 days)

Course details

  • Price: 22000 SEK (all prices ex. VAT)
  • Place: Convendum, Central Stockholm (onsite)

Get in touch

Drop us a line: academy@snowdrop.se

The fine print

  • 🍳 Food: Your registration includes lunch and coffee. Additionally, you will receive all essential course materials vital for mastering the content..
  • Flexible decision making: We understand the dynamic nature of business. If you need to change your plans, feel free to cancel up to 1 month before the course start date without incurring any charges.
  • 💸 Cancellation Policy: Should you need to cancel within 1 month of the course start date, the full course fee will be applicable. Please be mindful of this deadline.
  • 🔄 Transferability: If you are unable to attend, you have the option to transfer your enrollment to another qualified individual within the tech community.
  • 📅 Rescheduling Made Easy: Need to adjust your schedule? No problem. You can reschedule your course date up to 2 weeks before the program begins. We’ve got you covered.

Upcoming dates

2024-05-02

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