ADS Highlights Event
The end of the year is fast approaching, which means that the time has come for ADS to host its annual Highlights Event, to celebrate the end of 2020! The event will take place on Thursday 10th December, and will be hosted entirely online this year. Register now!
Join us for an afternoon full of inspiring speakers!
|15:30 – 15:40||ADS introduction & Highlights|
|15:40 – 16:00||Keynote: Elissa Redmiles|
|16:00 – 16:20||Partner Pitches|
|16:20 – 16:30||Break|
|16:30 – 16:45||Keynote 2 (TBA)|
|16:45 – 17:09||Partner Pitches|
|17:09 – 17:27||ADS Thesis Awards|
|17:27 – 17:30||Thank you and Goodbye|
Keynote: Elissa Redmiles
Learning from the People: Responsibly Encouraging Adoption of Contact Tracing Apps
A growing number of contact tracing apps are being developed to complement manual contact tracing. Yet, for these technological solutions to benefit public health, users must be willing to adopt these apps. While privacy was the main consideration of experts at the start of contact tracing app development, privacy is only one of many factors in users’ adoption decisions.
In this talk Elissa showcases the value of taking a descriptive ethics approach to setting best practices in this new domain. Descriptive ethics, introduced by the field of moral philosophy, determines best practices by learning directly from the user — observing people’s preferences and inferring best practice from that behaviour — instead of exclusively relying on experts’ normative decisions.
This talk presents an empirically-validated framework of user’s decision inputs to adopt COVID-19 contact tracing apps, including app accuracy, privacy, benefits, and mobile costs. Using predictive models of users’ likelihood to install COVID-19 apps based on quantifications of these factors, Elissa shows how high the bar is for achieving adoption and suggests user-driven directions for ethically encouraging users to adopt.
Each year we showcase the cutting-edge research from our Gold Partners during the Partner Pitches. Each speaker has four minutes to present their research.
- Paul Groth – IvI, UvA
The UvA Data Science Center – Furthering Research with Data Science
- Mark Siebert – Elsevier
- Clarisa Sánchez Gutiérrez – ICAI Amsterdam
- Nanda Piersma – HvA ECAAI
Start of Expertise centre Applied AI
- Sila Ozen Guclu – VodafoneZiggo
- Ivan Ortega – Qualogy
- Diederik Fokkema & Drona Kandhai – ING
- Laura Hollink – CWI
- Tamas Madl – Amazon Web Services
Zoom details to follow soon.
Check out last year’s Highlights Event.