"Fairness, Interpretability and Privacy for Algorithmic Systems" Workshop
Each workshop will produce a non-technical publication for public and private decision-makers and the public. The first workshop, on equity, interpretability and privacy for algorithmic systems, will be held at the Alan Turing Institute on June 3 and 4.
Program
Mon, 3rd June
8h30-9h30: Breakfast, Registrations
9h30-9h40: AW welcome and intro
9h40-9h55: Minister intro (Margot James MP, Minister of State for Digital, Culture, Media and Sport) still tbc whether she will confirm on morning of 3 or 4 June
Interpretability sessions:
9h55: Nozha Boujemaa - Interpretability of AI in Personalized Medicine
10h10: Plamen Angelov - Transparent, Interpretable and Explainable Classifiers 1025: Chris Russell - Counterfactual explanations in practice
10h40: Arthur Gretton - Interpretable model comparison
11h00 Coffee Break
11h15 David Leslie on ICO (regulator) guidance on interpretability
11h30-12h15 Panel Discussion on Interpretability, What do we need and how can we get there? Call for collaborators?
12h15-13h15 Lunch
Fairness sessions:
13h15-13h45: Christine Balagué - Towards using fairness in product recommender systems in marketing
13h45: Matt Kusner - Making Decisions the Reduce Discriminatory Impact
14h00: Claire Nedellec - Making textual data FAIR and interpretable by ontology-based information extraction. Where FAIR means "Findable, Accessible, interpretable, Reusable." Serge Pajak - Cases of ethical issues with IoT
Gracia Cecere - STEM and Teens: Algorithms in social media Panel discussion on Fairness? + Roger Taylor (CDEI)
Call for collaborators?
Privacy sessions:
15h00 Coffee break
15h15: Catuscia Palamidessi (Fr) - Local Differential Privacy and trade-off with Utility 15h30: Pierre Zweigenbaum (Fr) - Clinical text mining and privacy
15h45: Jon Crowcroft - Secure data havens - where are we today?
16h00: Emiliano de Cristofaro - Privacy and Machine Learning: It's Complicated 1615: Adria Gascon
16h16-17h00: Panel discussion on Privacy (+ Sophia A-B)
18h00 - 20h00: Reception at Quebec House
Tue 4 June
8h30-9h30: Breakfast, Registrations for people who can only join on 4 June 9h30-9h40: AW intro to second day
Robustness sessions
9h40-9h55: Pushmeet Kohli: Towards Verified Learnt Intelligence
9h55-10h10: Alan Mackworth: Building Trustworthy Artificial Autonomous Agents
10h10-10h25: Frederic Pascal: On Robust Estimation for high-dimensional settings applied to Signal and Image Processing
10h25-10h40: Michele Sebag: Structural Agnostic Modelling: Adversarial Learning of Causal Graphs
10h40-10h55: Coffee break
10h55-11h10: Bertrand Thirion - Statistical inference in high-dimension & application to medical imaging
11h10-11h25: Gaël Varoquaux (Fr) – Dirty data: learning without curating 1125-1140: Laurence Devillers - Affective computing & nudging with a robot 1140-1155: Joel Martin - Examples of NLP for good
11h55-12h40 Panel discussion on robustness
Call for collaborators?
Policy sessions
12h40-13h40: Lunch
13h40-14h00: Michael Geist
14h00-14h20: Tim Clement-Jones - Online harms (+ Sarah C) 14h20-14h40: Ian Kerr
(note. Villani paper)
Alan Winfield - on transparency and the approach we are taking in drafting IEEE standard P7001 on Transparency in Autonomous Systems
15h30-16h30: Breakout sessions to scope out collaboration? (shared google doc)
16h30-17h00: Wrap up and presentation of future projects for collaboration, maybe Press Release
19h Dinner near King’s Cross (or reception in the French Embassy tbc)