Bias in Data and Algorithmic Systems: Problems, Solutions and Stakeholders by Dr Jahna Otterbacher
2:00pm - 2:45pm /
Wednesday 28th October 2020
Type: Webinar /
Category: Department
- Andrea Bainbridge
- Admission: Free
- Book now
Add this event to my calendar
Click on "Create a calendar file" and your browser will download a .ics file for this event.
Microsoft Outlook: Download the file, double-click it to open it in Outlook, then click on "Save & Close" to save it to your calendar. If that doesn't work go into Outlook, click on the File tab, then on Open & Export, then Open Calendar. Select your .ics file then click on "Save & Close".
Google Calendar: download the file, then go into your calendar. On the left where it says "Other calendars" click on the arrow icon and then click on Import calendar. Click on Browse and select the .ics file, then click on Import.
Apple Calendar: The file may open automatically with an option to save it to your calendar. If not, download the file, then you can either drag it to Calendar or import the file by going to File >Import > Import and choosing the .ics file.
WiT Lecture Series
Online Webinar: “Bias in Data and Algorithmic Systems: Problems, Solutions and Stakeholders”
This is a live online webinar hosted by University of Liverpool, School of Electrical Engineering, Electronics and Computer Science, as part of the WiT Lecture series. The talk will be followed by a Q/A session.
Guest Speaker: Dr Jahna Otterbacher
From the faculty of the Open University of Cyprus (OUC), School of Pure and Applied Sciences.
Mitigating bias in algorithmic processes and systems is a critical issue drawing increasing attention across research communities within the information and computer sciences. Given the complexity of the problem and the involvement of multiple stakeholders – not only developers, but also end-users and third parties – there is a need to understand the landscape of the sources of bias, as well as the solutions being proposed to address them. In this talk, I present insights from a recent survey of 250+ articles across four domains (machine learning, information retrieval, HCI, and RecSys), providing a “fish-eye view” of the field. In the second part of the talk, I will discuss examples of our previous work on auditing proprietary computer vision systems for social biases, positioning this work vis-à-vis the aforementioned framework as well as the emerging science of machine behavior.
Online Webinar: “Bias in Data and Algorithmic Systems: Problems, Solutions and Stakeholders”
This is a live online webinar hosted by University of Liverpool, School of Electrical Engineering, Electronics and Computer Science, as part of the WiT Lecture series. The talk will be followed by a Q/A session.
Guest Speaker: Dr Jahna Otterbacher
From the faculty of the Open University of Cyprus (OUC), School of Pure and Applied Sciences.
Mitigating bias in algorithmic processes and systems is a critical issue drawing increasing attention across research communities within the information and computer sciences. Given the complexity of the problem and the involvement of multiple stakeholders – not only developers, but also end-users and third parties – there is a need to understand the landscape of the sources of bias, as well as the solutions being proposed to address them. In this talk, I present insights from a recent survey of 250+ articles across four domains (machine learning, information retrieval, HCI, and RecSys), providing a “fish-eye view” of the field. In the second part of the talk, I will discuss examples of our previous work on auditing proprietary computer vision systems for social biases, positioning this work vis-à-vis the aforementioned framework as well as the emerging science of machine behavior.