Learn how to maintain control over the robustness and security of AI systems during AI life cycle
Together with Silo AI and Accenture we are happy to welcome you to a digital seminar on the topic of ethical and responsible AI.
In this webinar we will share the insights generated in the third Nordic Ethical AI Sandbox workshop and we will hear from selected workshop participants about their learnings on ethical considerations for mitigating risks that comes with building robust and secure AI systems within an organization.
Read about the third Nordic Ethical AI Sandbox workshop
| When: | 16. April, 14.00-15.00 |
| Where: | Online |
Agenda
| Presentation on AI Robustness & Security: | Muzaffer Ege Alper, Machine Learning Engineer, Roosa.ai |
| Nordic Ethical AI Sandbox Read-out: | Learnings on the most important factors for ensuring trustworthy AI through the AI lifecycle, with specific consideration for how to effectively safeguard AI systems to be robust and secure |
| Panel Discussion: | Nordic business perspectives on the opportunities and challenges with implementing Robust and Secure AI, and what considerations and safeguards are needed for ensuring trustworthy AI Panel: - Blerta Lindqvist, Machine Learning Engineer, Roosa.ai - Petar Tsankov, CEO, Latticeflow - Hanne Hirvonen, Legal Counsel, Turre Legal - Trym Holter, Silo AI - Moderator: Elin Ehsani, Lead AI Scientist, Silo AI |
Background
This webinar is a part of the Nordic Ethical AI Sandbox which is a series of workshops and seminars aiming to explore how to operationalize ethical and responsible AI practices. The aim of the Nordic Ethical AI Sandbox is to help build knowledge and capability for Nordic companies on how to address some of the common challenges when it comes to responsible AI. Insights and learnings from the workshops and seminars will contribute to a Nordic Ethical AI Playbook.
The Nordic Ethical AI Sandbox is a part of the Nordic Ethical AI and Data Ecosystem project which aims to develop a Nordic AI and data ecosystem, based on the principles of responsible use of data and ethical AI.
Read more about the Nordic Ethical AI and Data Ecosystem project
