Join Us at the Responsible AI Symposium
We warmly invite industry professionals, researchers, and practitioners to the Responsible AI Symposium — a dynamic half-day event dedicated to exploring how artificial intelligence can be developed and applied responsibly across sectors.
This symposium brings together key voices from both the public and private sectors, with keynote speakers from local Scottish agencies such as The Scottish AI Alliance and FinTech Scotland, alongside international experts from Japan, where AI technology is at the forefront of national innovation strategies.
The event will also showcase some of the latest research and technological developments from Edinburgh Napier University and our partners, offering practical insights for SMEs seeking to adopt AI for business growth. We hope the symposium will also spark new research collaborations and industry partnerships.
Provisional Keynote Topics Include:
- Why trust, ethics and inclusion matters?
- From Regulation to Innovation: Shaping Ethical AI for Financial Inclusion
- Conscious AI – Mission (Im)Possible?
- Human‑Centred AI in Practice: From AR Co‑Drivers to Safe Automation
- Trustworthy AI in Multimodal Systems: Bridging Cognitive Data and Practice
Please note: keynote topics are tentative and may be subject to change.
The programme includes panel discussions and plenty of time for networking and idea exchange, with a shared commitment to advancing responsible AI in practice.
This event is funded by UKRI and the British Council, and delivered in partnership between Musashino University (Japan) and Edinburgh Napier University the Business School and Centre for Business Innovations and Sustainable Soultions (CBISS).
We look forward to welcoming you!
Note: Cancellation Policy
If you are no longer able to attend the symposium, please let us know as soon as possible so we can offer your place to someone on the waiting list. We kindly ask that cancellations be made at least 2 days in advance, where possible.
Thank you for your understanding and cooperation.
