9th October 2023
“Citizen Science and Artificial Intelligence Technologies” is the first BIAS online raising awareness webinar that aims to bring together the power of citizen participation and the potential of emerging technologies, while focusing on the importance of tackling gender and intersectional biases in AI and on how to prevent such biases.
In this era of rapid technological advancements, citizen science provides a unique opportunity to engage individuals from diverse backgrounds in scientific research and innovation. By involving citizens in data collection, analysis, and problem-solving, we can tap into the collective intelligence of the crowd, accelerating scientific discovery and fostering a deeper understanding of our world, while making it more inclusive and fair.
Interdisciplinarity in these areas unlocks new possibilities for addressing complex challenges in areas like the labour market, environmental conservation, public health, and urban planning. This collaboration enables harnessing the power of technology to amplify the impact of citizen-driven initiatives, facilitating real-time data collection and data sharing. At the same time, practices and methodologies inspired by citizen-science can be used to consult and engage users and stakeholders in AI research, and make sure computer scientists get input and feedback that contribute to increasing inclusiveness and trustworthiness of the systems they design.
This webinar is a combined effort of the TIME4CS and the BIAS projects, bringing together the Citizen Science Helix and the Trustworthy AI Helix communities.
Agenda
| Time (CET) | Title | Speaker |
| 14 – 14.15 | Welcome and presentation of the TIME4CS & BIAS projects | TIME4CS: Claudia Iasillo/Alessio Spera – APRE (TBC) BIAS: Roger Soraa – NTNU |
| 14.15 – 14.25 | Crowdhelix Platform, Citizen Science and Trustworthy AI Helixes for impact acceleration and future collaboration | Crowdhelix |
| 14.25 – 14:40 | AI in Citizen Science projects: examples | Jacob Sherson – Aarhus University, Center for Hybrid Intelligence |
| 14.40 – 15.05 | Citizens’ engagement on tackling gender and intersectional biases in AI | Carlotta Rigotti & Eduard Fosch Villaronga – Leiden University (TBC) |
| 15.05 – 15.20 | Citizen Science tools and AI | Gitte Kragh – Aarhus University (TBC) |
| 15.20 – 15.35 | Novel tools for bias identification and mitigation in AI systems – The Debiaser | Mascha Kurpicz-Briki – Bern University of Applied Sciences |
| 15.35 – 15.40 | Wrap up and conclusion |
Should you have any questions about this event please don’t hesitate to contact us at events@crowdhelix.com