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By focusing on ethical use, education, and practical applications, the group aims to ensure that AI enhances the engineering profession in meaningful ways.

The key objectives include

  • Facilitating understanding of AI’s potential benefits and risks within engineering.
  • Developing best practices for AI integration in engineering projects, with a focus on safety, efficiency, and ethics.
  • Offering recommendations on cost implications, ethical considerations, and leadership strategies.
  • Producing educational resources to help engineers learn about and apply AI responsibly.
  • Advocating for industry-wide education and the promotion of responsible AI usage.

The working group’s primary outcome will be a well-defined framework for the ethical use of AI in engineering, alongside practical resources to guide professionals in implementing these standards.

Paul Longo, P.Eng., PMP

Working Group Chair

Paul is a Senior Project Delivery Manager at AltaML who has spent the past two years leading applied AI initiatives for municipal and provincial governments. He is committed to fostering transparency and open-minded collaboration in the advancement of responsible artificial intelligence. Paul holds a Master of Management of AI from Smith School of Business at Queen’s University, a Master’s in Mechanical and Industrial Engineering from the University of Toronto, and a BASc in Mechanical Engineering from the University of Waterloo. Prior to joining AltaML, Paul worked as an Engineer and Project Manager where he led numerous complex engineering and technology projects in industrial, healthcare, and commercial environments.

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Please see OSPE’s most recent advocacy reports here.

Please see OSPE’s most recent submissions here.

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