Webinar

How to ensure trust and compliance in an AI-driven energy supply chain

Experts at Bull and DNV offer their insights from a contractual, legal and technical perspective in this webinar.


AI compliance and trustworthiness as a key competitive advantage in the energy sector

Artificial intelligence in energy is revolutionizing the sector, creating new ways of generating value. Many vendors and suppliers are integrating AI into their solutions, offering immense opportunities for efficiency, reliability and the transition to cleaner systems. However, with these opportunities come new risks that must be managed effectively.

In this recorded webinar, the experts discuss:  

  • Opportunities and challenges of industrial AI: What are the contractual, legal and technical opportunities and challenges of AI in an energy supply chain? 
  • AI compliance: How to navigate the regulatory landscape and ensuring adherence to standards 
  • AI trustworthiness: How to ensure that stakeholders can trust that solutions with AI inside can deliver as expected 
  • AI in the energy supply chain: How can the industry best manage an AI-driven supply chain?

speakers for AI webinar

About the speakers

Christian Bendiksen, Partner, Bull 

Christian is one of Norway’s leading lawyers in machine learning and AI. With master’s degrees in law from Norway and France, and qualification as Norwegian lawyer and English solicitor, Christian has been advising companies on licensing AI based software, access to training data, and deployment of IoT for the past 10 years. He authored the textbook “When Law Meets AI” in 2019.

Christian Agrell, Lead AI Scientist, DNV 

Christian leads the Risk and Modelling Technologies group in DNV Group Research and Development and has extensive experience with developing machine learning solutions for high-risk engineering applications. His current focus is on assurance of AI, and how to develop trustworthy AI systems. For industrial AI, this often involves combining domain expertise with data-driven modelling and uncertainty quantification.

Panel discussion moderator: 

Tara Jahangiry, Senior Engineer, DNV 

In her day-to-day job, Tara focuses on complex systems handling low-carbon fuels. Tara is one of the winners of DNV’s 2024 NextGen Innovation Challenge with the project Safe AI.

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