Governance and Explainable AI
As we are becoming more dependent on AI and the predictions it gives us for decision making, the need for transparency and the ability to verify the model ethics, trustworthiness, and transparency including the data used in developing the models also rises.
About this webinar
Today, the Ethical, Trustworthy, and Transparent AI are in focus - in broader terms, AI Governance. This is the logical consequence of two things:
1.The growing application and impact of AI
2.Unfortunate and misunderstood use of data- and AI for some organizations.
So how do you keep up with this challenge?
The new challenges for everyone who wants to get started with AI are public opinions toward AI as well as the guidelines and regulations on AI ethics, trustworthiness, and robustness.
As a result, policy-makers are increasingly looking at ways to tackle the risks associated with the practical implementation of AI. Both AI and data guidelines and regulations are being implemented across the globe to ensure that consumers can trust organizations with their data and that AI models in operation are transparent, fair, and trustworthy.
During this webinar, we will dive into understanding what biases in AI models are, how they form, and how we can avoid or minimize their potential for unethical decisions. Furthermore, we will explain why an enterprise data- and AI platform is needed to ensure the practical implementation of AI and AI Governance in terms of validation and reporting, including the entire audit trail and governance for internal- and external reporting of all organizational AI initiatives. Learn more about how to tackle bias in AI here.
On February 19th, 2020, the EU Commission presented their first approach as part of their digital strategy, dealing with technological, ethical, legal, and socio-economic aspects, putting AI at the service of European citizens and the economy.
As one of 50 companies, 2021.AI is working with the EU and the EU High-Level Expert Group in defining legal, ethical, and technical requirements for the 'Ethical guidelines for trustworthy AI' and how to implement this in the EU.
Kristoffer Gordon Clausen, Data Scientist, 2021.AI
As a Data Scientist at 2021.AI, Kristoffer has modeled multi-process manufacturing lines for pharmaceutical companies, predicted container dwell times for container port terminals, and deployed several models for telecom clients. Kristoffer is also a board member at Neural, a student-run society for AI in Denmark.
Date: September 11, 2020
Duration: 2 hours
Time: 10:30 a.m. - 12:30 a.m.