Artificial intelligence solutions are no longer just a tool for innovation labs – they've become part of everyday decision-making, data processing, and customer service. But with new opportunities comes a new kind of responsibility. Where does innovation end and a breach of regulatory requirements or ethical boundaries begin?
In the AI Master Lab webinar "AI risk management in organizations: safe and trustworthy AI use – a legal requirement or an ethical duty", Vija Kalniņa and Ivars Krampis-Vanags helped explain how to turn AI risk into a management-level responsibility, rather than leaving it solely to IT or legal.
What we discussed
- AI risk in organizations: how it shows up in practice, and what incidents have already occurred in business settings.
- Accountability: who bears responsibility for the risks created by AI tools – developers, users, or the state?
- Regulatory framework: how the EU AI Act helps or complicates risk management.
- Ethics in practice: how to determine what counts as acceptable versus risky use of AI.
- Where to start: practical recommendations for organizations just taking their first steps in AI adoption.
Speakers
Vija Kalniņa – Doctor of Law, an expert in AI ethics and law, with research experience at Harvard and Boston University. Her work helps organizations adopt artificial intelligence with clear accountability and transparency.
Ivars Krampis-Vanags – a data analytics expert, founder of Excel Know How, and a Microsoft Power BI practitioner with extensive experience in finance and data management.
The webinar recording is available on our YouTube channel: