Imagine you are buying a car. You would want to know it is safe, right? The same standards should apply to AI. After all, AI can detect diseases, impact whether we get a loan or the outcome of a harvest. It has a tangible impact on people and the environment. If AI goes wrong, it might fail to detect diseases, deny loans or endanger a harvest.
Join Nadine Dammaschk to discover how risk assessment can be used to promote responsible AI and address harms early on in the development process. Nadine will share insights and lessons learnt from developing and testing a risk assessment procedure in Sub-Saharan Africa and Asia Pacific.
Additionally, Nadine will contextualise the practice of risk assessments within emerging AI regulations and auditing standards. While risk assessments can be an effective instrument to guide more responsible AI practices, they require further embedding into AI governance and assurance to unfold their potential.
Data Ethics Professional webinar series
This series looks at the practical application of ethics in the use of data and AI.
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Speakers
Nadine Dammaschk is a specialist in AI Governance and passionate about making the rapidly moving and still somewhat impenetrable field of responsible AI more accessible and navigable for a broader, non-technical audience.
She is an ODI-certified Data Ethics Professional with over five years of experience in AI Ethics. During her role as an advisor for the AI flagship project “FAIR Forward – Artificial Intelligence for All” at GIZ, she created a process to assess and mitigate harms and biases in AI and worked together with partners from Sub-Saharan Africa and Asia Pacific to make AI more open and inclusive on an international level. Nadine is an active contributor to the International Association of Algorithmic Auditors (IAAA) where she collaborates on the creation of AI auditing standards.
Dr Kay Achenbach, Data Trainer at the ODI
Kay is a Data Trainer on the ODI's Learning Team. With a PhD in geology, Kay has extensive experience collecting, cleaning and analysing geospatial data, and she worked for 3 years as a postdoctoral researcher in geophysics and Durham University.
Prior to joining the ODI, she worked for over a decade teaching physics and geology in secondary schools and sixth form, where she developed a strong interest in the use of data in the education sector.
A data enthusiast, Kay now supports the ODI's delivery of programmes to enable professionals to develop the necessary skills and knowledge to use data more effectively.
About the event
The event will be held on Zoom, and a Zoom link will be emailed to all participants.
This event is made possible by the generous support of ODI members.