Data Science
& Law Forum 3.0

Presented by

Data Science & Law Forum 3.0

Welcome to the Data Science & Law Forum 3.0

Since 2018, the Data Science & Law Forum has provided a space for collective reflection and learning on developing principles for responsible AI. In 2021, the discussions move to the operationalization of AI – artificial intelligence in practice – and the necessary adoption of rules that guardrail AI systems.

The 3rd edition of the Data Science & Law Forum will advance discussions around developing robust and trustworthy AI and
convene experts from the research community, civil society, policymaking, and legal practice.

We can’t wait for you to join us!

Interested in learning more? Read on for further details and information on how you can register.

The event has now taken place. In case you missed it, you can watch again or catchup on any of the Data Science & Law sessions on the On Demand section here. 

Brussels plenary week (26 to 30 April)

All times listed are in local Brussels time (CEST).

International sign interpretation is provided for all open sessions.

Day 1
2021-04-26
Day 2
2021-04-27
Day 3
2021-04-28
Day 4
2021-04-29
Day 5
2021-04-30
09:00 - 10:00
Pre Plenary Book talk​: Atlas of AI​

The hidden costs of artificial intelligence, from natural resources and labor to privacy and freedom.

What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? In this book Kate Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequality. Drawing on more than a decade of research, award-winning science, and technology, Kate Crawford reveals how AI is a technology of extraction: from the energy and minerals needed to build and sustain its infrastructure, to the exploited workers behind “automated” services, to the data AI collects from us.

Rather than taking a narrow focus on code and algorithms, the author offers a political and a material perspective on what it takes to make artificial intelligence and where it goes wrong. While technical systems present a veneer of objectivity, they are always systems of power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.

Pre Plenary Book talk​: Atlas of AI​ image
Kate Crawford
Author of "Atlas of AI"
Senior Principal Researcher, Microsoft Research
Pre Plenary Book talk​: Atlas of AI​ image
Lorena Jaume-Palasí
Founder, The Ethical Tech Society
Pre Plenary Book talk​: Atlas of AI​ image
Moderator: Dr. Melinda Crane
Chief political correspondent, DW
13:00 - 15:00
Closed workshop on “Regulating the Use of Facial Recognition Technology in Europe: State of the Art and the Way Forward” (by invitation only)
Closed workshop on “Regulating the Use of Facial Recognition Technology in Europe: State of the Art and the Way Forward” (by invitation only) image
Prof. Theodore Christakis
Professor of International and European Law, Université Grenoble Alpes
15:25 - 15:30
Welcome and Introduction
Welcome and Introduction image
Moderator: Dr. Melinda Crane
Chief political correspondent, DW
15:30 - 16:00
Regulating AI in the EU | A conversation between Executive Vice President Margrethe Vestager & Microsoft’s Vice President Casper Klynge
Regulating AI in the EU | A conversation between Executive Vice President Margrethe Vestager & Microsoft’s Vice President Casper Klynge image
Margrethe Vestager
Executive Vice President, European Commission
Regulating AI in the EU | A conversation between Executive Vice President Margrethe Vestager & Microsoft’s Vice President Casper Klynge image
Casper Klynge
Vice President, European Government Affairs, Microsoft
16:00 - 17:00
Panel session: What’s next for operationalizing responsible AI?​

With European Commission’s proposal on AI regulation having been published, the European Commission has taken a first step to set up a legal framework toward the responsible development and deployment of AI-based technologies in Europe. This expert panel takes a deeper look at the proposal.

Panel session: What’s next for operationalizing responsible AI?​ image
Natasha Crampton
Chief Responsible AI Officer, Office of Responsible AI, Microsoft
Panel session: What’s next for operationalizing responsible AI?​ image
Eva Kaili
Member, European Parliament
Panel session: What’s next for operationalizing responsible AI?​ image
Irina Orssich
Team Leader AI, DG CONNECT, European Commission
Panel session: What’s next for operationalizing responsible AI?​ image
Moderator: Justin Nogarede
Digital Policy Advisor, Foundation for European Progressive Studies
17:00 - 18:00
The psychology of human machine interaction

It is a platitude to say that intelligent machines, powered by powerful software and AI, play an increasing role in modern societies. What has perhaps been less noticed is the fact that these machines more and more participate in human life. Akin to what happened in pre-industrial societies, where human beings lived in symbiosis with animals, they know live in symbiosis with machines, and will do so more and more. This panel will shed light on our understanding of the way in which humans interact with machines and how human beings assign a personality and traits of human behavior to the machines.

The psychology of human machine interaction image
Dr. Jean-François Bonnefon
Senior Director, Toulouse School of Economics
The psychology of human machine interaction image
Hanna Wallach
Senior principal researcher, Microsoft Research
The psychology of human machine interaction image
Moderator: Dr. Melinda Crane
Chief political correspondent, DW
15:00 - 15:30
Keynote Speech by Boštjan Koritnik, Minister of Public Administration, Republic of Slovenia
Keynote Speech by Boštjan Koritnik, Minister of Public Administration, Republic of Slovenia image
Boštjan Koritnik
Minister, Ministry of Public Administration of Slovenia
15:30 - 16:30
Panel Session: Demonstration mechanisms for AI accountability​

Many recent EU regulations are proposing to leverage Certifications, Labels and Codes of Conducts to demonstrate compliance and show accountability, including wrt to AI. The Commission’s White Paper on Artificial Intelligence from February 2020 has outlined this approach in its chapter 5 called “an Ecosystem of Trust: regulatory Framework for AI”. This Panel will discuss initiatives that have been launched across Europe since then, the different mechanisms available and how they can address AI related concerns

Panel Session: Demonstration mechanisms for AI accountability​ image
Patrick Bezombes
Co-chair of the AI focus Group, CEN and CENELEC
Panel Session: Demonstration mechanisms for AI accountability​ image
Jason Matusow
General Manager, Global Standards, Microsoft
Panel Session: Demonstration mechanisms for AI accountability​ image
Maximilian Poretschkin
Senior Data Scientist, Fraunhofer IAIS
Panel Session: Demonstration mechanisms for AI accountability​ image
Salil Gunashekar
Research Leader, RAND Europe
Panel Session: Demonstration mechanisms for AI accountability​ image
Moderator: Geraldine Larkin
CEO, National Standards Authority of Ireland (NSAI)
16:30 - 17:00
Young European Scholars Program​

Traditional training of machine learning models usually requires the centralization of the user-held data. This limitation is considerably penalizing especially when the data is sensitive such as medical data. To deal with this problem, federated learning protocols have been proposed to collaboratively train a common model without sharing any private training data held by individual parties. In federated learning, each entity trains a common model using its own training data, and share only the gradients (i.e., model update) with each other through a central server. The server updates the common model with the shared gradients, and re-distributes the updated model to the clients for further training. This process repeats until the convergence of the common model.

Although federated learning improves privacy, it is not perfect. In fact, sharing gradients computed by individual parties can leak information about their private training data. Several recent attacks have demonstrated that a sufficiently skilled adversary, who can capture the model updates (gradients) sent by individual parties, can infer whether a specific record or a group property is present in the dataset of a specific party. Moreover, complete training samples can also be reconstructed purely from the captured gradients.

Moreover, federated learning is also less robust against state-of-the-art security attacks and is not bandwidth efficient as it requires many message exchanges between the server and the participating entities. Raouf argues that a practical solution should have 4 properties: it should be secure, private, bandwidth efficient and accurate. During this presentation, Raouf will present different solutions that satisfy some of those properties. His research also shows that designing a solution that satisfies all those 4 properties remains an open research challenge.

Young European Scholars Program​ image
Raouf Kerkouche
Final year PhD student at Inria and University of Grenoble-Alps (UGA)
Young European Scholars Program​ image
Moderator: Cornelia Kutterer
Senior Director, Rule of Law & Responsible Tech European Government Affairs, CELA Microsoft
15:30 - 15:35
Welcome and Introduction
Welcome and Introduction image
Moderator: Dr. Melinda Crane
Chief political correspondent, DW
15:35 - 16:30
Panel discussion: AI international cooperation – Importance and Opportunities
Panel discussion: AI international cooperation – Importance and Opportunities image
Moderator: Dr. Joshua Paul Meltzer
Senior Fellow, Global Economy and Development program, Brookings Institution
Panel discussion: AI international cooperation – Importance and Opportunities image
Jayant Narayan
Lead - Artificial Intelligence & Machine Learning, World Economic Forum
Panel discussion: AI international cooperation – Importance and Opportunities image
Wan Sie Lee
Director (Trusted AI & Data), IMDA Singapore
Panel discussion: AI international cooperation – Importance and Opportunities image
Audrey Plonk
Head of Digital Economy Policy Division - Directorate for Science, Technology and Innovation, OECD
Panel discussion: AI international cooperation – Importance and Opportunities image
Allison Schwier
Acting Science and Technology Adviser to the Secretary of State, United States
16:30 - 17:30
Fireside Chat “The next frontiers for humanity: expectations, disruptions & surprises in AI”
Fireside Chat “The next frontiers for humanity: expectations, disruptions & surprises in AI” image
Tonje Hessen Schei
Director and Producer of iHuman Documentary
Fireside Chat “The next frontiers for humanity: expectations, disruptions & surprises in AI” image
Eric Horvitz
Technical Fellow and Chief Scientific Officer, Microsoft
Fireside Chat “The next frontiers for humanity: expectations, disruptions & surprises in AI” image
Moderator: Casper Klynge
Vice President, European Government Affairs, Microsoft
15:30 - 17:30
Closed workshop with civil society/NGOs (by invitation only)
Select date to see events.

Recordings of the public sessions will also be available on-demand during the plenary week, kicking off 26 April.

Day 1 Mon 26/04
9:00 AM - 10:00 AM

Pre Plenary Book talk​: Atlas of AI
Kate Crawford Author of "Atlas of AI" Senior Principal Researcher, Microsoft Research


Lorena Jaume-Palasí Founder, The Ethical Tech Society

Day 2 Tues 27/04
4:30 PM - 5:30 PM

The psychology of human machine interaction
Dr. Jean-François Bonnefon Senior Director, Toulouse School of Economics


Hanna Wallach Senior principal researcher, Microsoft Research

Day 4 Thurs 29/04
4:30 PM - 5:30 PM

Fireside Chat “The next frontiers for humanity: expectations, disruptions & surprises in AI"
Tonje Hessen Schei Director and Producer of iHuman Documentary


Eric Horvitz Technical Fellow and Chief Scientific Officer, Microsoft

Speakers include

vestager

Margrethe Vestager

Executive Vice-President, European Commission

irina bw

Irina Orssich

Team Leader AI, DG CONNECT, European Commission

Natasha Crampton 600

Natasha Crampton

Chief Responsible AI Officer, Office of Responsible AI, Microsoft

Boštjan Koritnik BW

Boštjan Koritnik

Minister, Ministry of Public Administration of Slovenia

Eric 600

Eric Horvitz

Technical Fellow and Chief Scientific Officer, Microsoft

tonje

Tonje Hessen Schei

Director and Producer of iHuman Documentary

Meltzer bw

Dr. Joshua Paul Meltzer

Senior Fellow, Global Economy and Development program, Brookings Institution

Lorena_Jaume_Website-540x0-c-default

Lorena Jaume-Palasí

Founder, The Ethical Tech Society

eva

Eva Kaili

Member, European Parliament

steve sweetman

Steve Sweetman

Principal Program Manager, Ethics & Society, Microsoft

theodore

Prof. Theodore Christakis

Professor of International and European Law, Université Grenoble Alpes

Jean francois

Dr. Jean-François Bonnefon

Senior Director, Toulouse School of Economics

justin

Justin Nogarede

Digital Policy Advisor, Foundation for European Progressive Studies

kate bw

Kate Crawford

Senior Principal Researcher, Microsoft Research

daniel klutzz

Daniel Kluttz

Sensitive Uses Lead, Office of Responsible AI, Microsoft

jenn

Jenn Wortman Vaughan

Sr. Principal Researcher, Microsoft Research

melinda

Dr. Melinda Crane

Chief political correspondent, DW

Dr Junaid 600 bw

Dr. Junaid Bajwa

Chief Medical Scientist, Microsoft Research

meernosh

Mehrnoosh Sameki

Senior technical program manager, Microsoft

raouf

Raouf Kerkouche

Final year PhD student at Inria and University of Grenoble-Alps (UGA)

cornelia

Cornelia Kutterer

Senior Director, Rule of Law & Responsible Tech, Microsoft

patrick benzombes

Patrick Bezombes

Co-chair of the AI Focus Group, CEN and CENELEC

jason matusow

Jason Matusow

General Manager, Global Standards, Microsoft

maximillian

Maximilian Poretschkin

Senior Data Scientist, Fraunhofer IAIS

geraldine

Geraldine Larkin

CEO, National Standards Authority of Ireland (NSAI)

casper

Casper Klynge

Vice President, European Government Affairs, Microsoft

Salil

Dr Salil Gunashekar

Research Leader, RAND Europe

hannah bw

Hanna Wallach

Senior principal researcher, Microsoft Research

Jayant

Jayant Narayan

Lead - Artificial Intelligence & Machine Learning, World Economic Forum

wan lee bw

Wan Sie Lee

Director (Trusted AI & Data), IMDA

audrie

Audrey Plonk

Head of Digital Economy Policy Division - Directorate for Science, Technology and Innovation, OECD

alison

Allison Schwier

Acting Science and Technology Adviser to the Secretary of State, United States

hannah bw

Hanna Wallach

Senior principal researcher, Microsoft Research

Jayant

Jayant Narayan

Lead - Artificial Intelligence & Machine Learning, World Economic Forum

wan lee bw

Wan Sie Lee

Director (Trusted AI & Data), IMDA

At a glance

This year’s Data Science & Law Forum 3.0 is being held virtually, and will start with regional chapters taking place from 13 to 21 April. The chapters will include an Envision Workshop, a policy panel on challenges and opportunities of operationalizing AI, and inside-out learning keynotes that will provide you with practical insights into responsible AI governance. 

We invite you to travel with us across Europe and listen in to all inside-out speaker sessions, to learn more about all aspects of responsible AI governance!

 Our European journey will bring us back to Brussels on 26 April for a full plenary week.

The plenary week will include policy panels on regulating AI, accountability mechanisms and Transatlantic cooperation. Forward-leaning fire-side chats and BookTalks will foster discussions on the choices we need to make today for a human-centric AI future of tomorrow.

 

Explore the map below to discover more on what’s available to you, from regional chapters to the EU-level Brussels plenary week.

Overview of regional keynote topics

Netherlands, 13 April

Building a culture and practice of responsible AI
Natasha Crampton (Chief Responsible AI Officer, Office of Responsible AI, Microsoft) will share insights about the building blocks that are the basis for Microsoft’s responsible AI program.
Learn more

Germany & Switzerland, 14 April

Identifying and Reviewing Sensitive Uses of AI
Daniel Kluttz (Sensitive Uses Lead, Office of Responsible AI, Microsoft) will discuss Microsoft's three sensitive use triggers that initiate reporting obligations and the Sensitive Uses review process.
Learn more

France, 14 April

AI and Health: We Rise by Lifting Others
Dr. Junaid Bajwa (Chief Medical Scientist, Microsoft Research) will be discussing the current and future opportunities for technology enabled healthcare, with a particular emphasis on the role of AI in transforming the practice of medicine.
Learn more

Denmark, 15 April

Responsible AI: Best Practices and Tools
Mehrnoosh Sameki (Responsible AI Products, Microsoft) will discuss the latest practical approaches to responsible AI and demonstrate how our latest open source and cloud integrated responsible ML capabilities empower data scientists and developers.
Learn more

Visegrád Group, 19 April

Responsible AI in Engineering
Steve Sweetman (Principal Program Manager, Ethics & Society, Microsoft) will showcase the practices and tools that our engineers and customers use, how they shape the technologies we release.
Learn more

Portugal, 20 April

Intelligibility Throughout the Machine Learning Life Cycle
Jenn Wortman Vaughan (Senior Principal Researcher, Microsoft Research) will explore the importance of evaluating methods for achieving intelligibility in context with relevant stakeholders.
Learn more

Spain, 21 April

Human-Centred Responsible AI Compliance by Design
David Marcos (Responsible Innovation Compliance Lead, Microsoft Cloud & Artificial Intelligence), will discuss the initial approach being taken to establish Human-Centered Responsible AI Compliance by Design, identifying the key needs of compliance practitioners.
Learn more

What to expect

This year’s Forum is designed to provide a truly pan-European digital experience. Global experts will deliver essential insights on applied AI and its governance via engaging formats. You can follow live and on-demand content, listen to inspiring speakers and explore networking opportunities.

Choose your sessions

One registration process allows you to participate in all public panels and keynotes.  While regional panels may be in the local language, all keynotes will be held in English. 

Live and on-demand discussions

Inspiring Speakers

Quality networking opportunities

Data Science & Law Forum 3.0

On Demand

Here you can watch again or catchup on any of the Data Science & Law past sessions. We’ll be adding content regularly so check back for updates. And don’t forget, you can watch upcoming sessions live by registering here.

Join the conversation

Get ready for live attendee chat during the event, share your thoughts on social media with #DSLForum and #TechFit4Europe and follow the conversation on Twitter @MicrosoftEU.

Contact

If you have any questions, you can get in touch via email: datasciencelawforum@forum-europe.com