How to establish ethical considerations and safeguards for mitigating Generative AI risks
Together with Accenture and Silo AI we welcome you to a webinar on the topic of ethical and responsible AI. The webinar will feature a read-out of the insights generated in the second 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 generative AI capabilities within an organization.
Read about the second Nordic Ethical AI Sandbox workshop
When: | 15. February, 12.00-13.00 CET |
Where: | Online |
Agenda
Nordic Ethical AI Sandbox Read-out: | Learnings on the most important factors for deploying trustworthy Generative AI from some of the companies leading the adoption of Generative AI in the Nordics. |
Panel Discussion: | Nordic business perspectives on the opportunities and challenges with using Generative AI and what considerations and safeguards are needed for ensuring trustworthy AI. - Milap Patel, Head of AI Products & Gen AI Enablement, Ericsson - Ieva Martinkenaite, SVP & Head of Research and Innovation, Telenor - Veera Siivonen, CCO & Partner, Saidot.ai - Jon Jahren, Director, Azure Data & AI, Microsoft Norway & Denmark - Andrea Risberg (moderator), Nordic Responsible AI Lead, Accenture |
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 & Data Ecosystem project