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 This workshop (hosted by the [WebSci'20](https://websci20.webscience.org/) conference) will focus on socially-sensitive decisions made or assisted by AI systems which often involve more complex (e.g. machine learning) and opaque forms (also referred to as black-box algorithms) of underlying decision-making processes. The aim is to stimulate a lively debate on whether explanations for AI are computable or not by bringing together researchers, practitioners and representatives of AI (or AI-assisted) decision-making systems.
 
 Call for papers:  [https://easychair.org/cfp/exAI2020](https://easychair.org/cfp/exAI2020)
+
+## Schedule
+1. Brief welcome and introduction to the workshop from the organizers. Duration: 5 minutes.
+2. Invited speaker: Presentation of the PLEAD project. Duration: 15 minutes.
+3. Position Papers Session – Arguments for and against computable explanations for AI. Duration: 1 hour.
+    - Jennifer Cobbe and Jatinder Singh, University of Cambridge: Reviewable Automated Decision-Making
+    - Perry Keller, King’s College London: Paternalism in the public governance of explainable AI
+    - Kieron O’Hara, University of Southampton: In No Circumstances Can or Should Explanations of AI Outputs in Sensitive Contexts Be Wholly Computable
+    - Simon Parsons et al., University of Lincoln: Trust in Human Machine Partnerships
+4. Coffee break. Duration: 15 minutes.
+5. Discussion Session – Interactive discussion on computable explanations, Q&A with the authors. Duration: 1 hour.
+6. Brief closing statement from the organizers. Duration: 10 minutes.
+
+
 ## Description
 
 Automated decision making continues to be used for a variety of purposes within a multitude of sectors. Ultimately, what makes a 'good' explanation is a focus not only for the designers and developers of AI systems, but for many disciplines, including law, philosophy, psychology, history, sociology and human-computer interaction. The principal objective of this workshop is to build a cross-sectoral, multi-disciplinary and international network of people focusing on explanations for AI, and an agenda to drive this work forward.
@@ -62,13 +76,6 @@ Successful authors will have the opportunity to showcase their work in the form
 ## Date and venue
 Tuesday, 7 July 2020 14:00 -- 18:00. The workshop will be delivered online, the WebSci conference is organised by the University of Southampton, UK. 
 
-## Schedule
-- Brief welcome and introduction to the workshop from the organizers. Duration: 5 minutes.
-- Invited speaker. Duration: 15 minutes.
-- Position Papers Session – Arguments for and against computable explanations for AI. Duration: 1 hour.
-- Coffee break. Duration: 15 minutes.
-- Discussion Session – Interactive discussion on computable explanations, Q&A with the authors. Duration: 1 hour.
-- Brief closing statement from the organizers. Duration: 10 minutes.
 
 ## Contact