Trustworthy & Ethical AI Conference
13 February 2020 (9h30-17h30)
Location: Parker Hotel (Diegem)
Presented in English by Patrick Van Eecke, Nazanin Gifani, Vincent Buekenhout, Deevid De Meyer, Martijn Cuypers, Jelle Hoedemaekers, Matthias Feys, Yves Peirsman, Karel Kremer, Hugo Pires, Paul Valckenaers, ...
Price: 350 EUR (excl. 21% VAT)
This event is history, please check out the List of Upcoming Seminars, or send us an email
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Learning Objectives
Trustworthy AI Conference - 13th of February 2020 - Brussels
Artificial intelligence (AI) is set to become one of the most disruptive technological developments we have ever seen. AI is already a part of our every day life, and the more we involve and start to rely on AI, the more we'll need to be able to trust the recommendations and decisions that autonomous systems, AI solutions and robots make. Because whether you call it responsible AI, ethical AI, accountable AI, explainable AI, interpretable AI, fair AI, ... trust is going to be the key success factor in making the move from human-centered over augmented intelligence to artificial intelligence. What we need is machines you can trust, data you can trust, and results you can trust. But how do you get there?
During this conference, you will learn more about the regulatory and technical solutions to build trust and explainability into AI solutions, and to make sure that your automated decision making and "black box" solutions are unbiased, ethical, fair and trustworthy.
We will address both the problems and the solutions, the opportunities and the challenges of
trustworthy AI solutions, by presenting strategies, guidelines and technologies for building trust and explainability into the AI solutions of the future.
| Compact Programme of the Trustworthy AI Conference: | ||
| Time | Rooms A & B | |
| 9h30 | Words of Welcome by the Conference Chairmen Patrick Van Renterghem and Hans Arents (Senior Advisor Digital Government at Vlaamse Overheid (Rooms A + B) | |
| 9h45 | Opening Keynote: Patrick Van Eecke - AI is here, offering many opportunities and challenges: how Europe is planning to regulate Artificial Intelligence |
|
| 10h45 | Coffee/Tea, Networking and Exhibitions | |
| Morning Presentations (3 x 30 minutes + Q & A) | ||
| 11h15 | Making AI Ethical and Fair
|
|
| 13h00 | Lunch, Networking and Exhibitions | |
| Afternoon Presentations | ||
| 14h00 | Business Track - Afternoon Session
|
Technical Track - Afternoon Sessions
|
| 15h45 | Coffee/Tea, Networking and Room Switch | |
| 16h15 | Panel Discussion with speakers and participants, moderated by Deevid De Meyer (host of the Radio Raccoons podcast) | |
| 17h15 | End of the Conference, Start of the Networking Drink | |
Full Programme
During this conference, you will learn more about the regulatory and technical solutions to build trust and explainability into AI solutions, and to make sure that your automated decision making and "black box" solutions are unbiased, ethical, fair and trustworthy.
| Full Programme of the Trustworthy AI Conference: | ||
| 8h30 Foyer |
Registration with Coffee/Tea and Croissants, Networking and Exhibition | |
| 9h30 | Words of Welcome by the Conference Chairmen Patrick Van Renterghem (CEO @ IT Works) and Hans Arents (Senior Advisor Digital Government at Vlaamse Overheid) (Rooms A + B) | |
| 9h45 | Opening Keynote: Patrick Van Eecke - AI is here, offering many opportunities and challenges: how Europe is planning to regulate Artificial Intelligence Patrick Van Eecke will discuss with you the impact of AI on our business practices and how European policy makers are planning to regulate the development and use of human-centric AI. In his talk, Patrick focuses on how Europe intends to regulate bias, fairness, ethics, trust and explainability of AI. |
|
| 10h45 | Coffee/Tea, Networking and Exhibitions | |
| 11h15 | Morning Presentations (3 x 30 minutes + Q & A) | |
| 11h15 Rooms A+B |
Making AI Ethical and Fair
Fairness and Transparency: Algorithmic Explainability, some Legal and Ethical Perspectives (Nazanin Gifani, Data Protection Officer, EURA NOVA)
In this presentation, some of the ethical and legal issues of automated decision making will be discussed, including algorithmic fairness, transparency and explainability. The big question here is: can AI help us to make fairer decisions ? Ethical AI at VDAB (Vincent Buekenhout, Ethical AI Lead, VDAB)
Vincent looks at the various AI initiatives at VDAB, its AI4Good strategy, the way applications are designed, and most of all, the way ethics, measurements through KPI's, explainability and fairness play a role in this. Vincent will explain how ethics-by-design works at VDAB. How to implement error-proof Machine Learning in business-critical processes with explainability and human-centric design (Deevid De Meyer, co-founder, Brainjar)
This presentation outlines how Brainjar uses human-centric design and explainability to create machine learning systems that work together with humans to improve efficiency while reducing error rate. |
|
| 13h00 | Lunch, Networking and Exhibitions | |
| 14h00 | Afternoon Presentations | |
| 14h00 Room A |
Business Track Responsible AI: An Example AI Development Process with Focus on Risks and Controls (Martijn Cuypers, Insurance Director, and Hugo Pires, Senior Manager at PwC)
Organisations need to make sure that they use AI in an appropriate way. Martijn and Hugo explain how to ensure that the developments are ethically sound and comply with regulations, how to have end-to-end governance, and how to address bias and fairness, interpretability and explainability, and robustness and security. During the conference, we'll be looking at an example AI development process with focussing on the risks to be managed and the controls that can be established. Obedient Digital Twins: (Paul Valckenaers, Senior Researcher, UCLL)
Paul explains how intelligence is added to a corresponding reality without introducing limitations into a world-of-interest. The outcome is obedience: a conflict with an obedient digital twin is a conflict with its real-world counterpart. Illustrated by healthcare examples. AI & Ethics: The Belgian Industry Vision & Initiatives (Jelle Hoedemaekers, Expert ICT Standardisation, Agoria)
Jelle will explain why Belgian companies are working on ethical AI, and provide an overview of Belgian and European AI Initiatives with a focus on ethics. |
|
| 14h00 Room B |
Technical Track: Adding Explainability and Removing Bias in Machine Learning, NLP and Chatbots Introduction to Bias in ML (Machine Learning) (Matthias Feys, CTO, ML6)
In this talk, you will learn what bias in ML models actually means. You will get insights in the complexity of the problem and learn realistic ways to reduce bias. He Said, She Said: Finding and Fixing Bias in NLP (Natural Language Processing) (Yves Peirsman, NLP Town)
Yves presents several instances where bias has posed a risk to the successful adoption of NLP systems, and discusses what techniques exist to discover these biases before the systems are put in production. Building Trust and Explainability into Chatbots: the Partena Ziekenfonds Business Case (Karel Kremer, CTO of Oswald)
Chatbots and conversational interfaces are taking over customer service departments by storm. In many companies, they provide first-line support to customers. Based on the Partena Ziekenfonds business case, Karel will share a few critical success factors... |
|
| 15h45 | Coffee/Tea, Networking and Room Switch | |
| 16h15 | Panel Discussion with speakers and participants, moderated by Deevid De Meyer | |
| 17h15 | End of the Conference, Start of the Networking Drink | |
The robots are coming: how Europe is planning to regulate Artificial Intelligence | Patrick Van Eecke (DLA Piper)
Patrick Van Eecke will discuss with you the impact of AI on our business practices and how European policy makers are planning to regulate the development and use of human-centric AI. In his talk, Patrick focuses on how Europe intends to regulate bias, fairness, ethics, trust and explainability of AI.
Patrick Van Eecke is Partner at global law firm DLA Piper and Professor IT & Law. He is familiar with the EU initiatives on Trustworthy AI and the clash between Law and AI/Robotics. He will discuss liability, IP (intellectual property, copyright, patents), competition law, data protection, data ownership, data donorship, ethics, fairness, explainability, bias, the lack of legal frameworks, and what local and European governments are planning to do about this (euRobotics, Robolaw project, Digital Charter on Robotics, Code of Ethical Conduct, ...).
Check out more information on the speaker Patrick Van Eecke
Fairness and Transparency: Algorithmic Explainability, some Legal and Ethical Perspectives | Narazin Gifani (EURA NOVA)
Issues of algorithmic fairness and transparency are relevant to both ethics and law. In this presentation, some of the ethical and legal challenges of AI will be discussed:
- Automated decision making: legal and ethical issues
- Why do algorithmic fairness and transparency matter?
- Algorithmic explainability as a legal obligation (GDPR)
- Bringing human in the loop: an ethical perspective
- Can AI help us make fairer decisions?
- Human-machine interactions
Check out more information on the speaker Nazanin Gifani
Ethical AI at VDAB | Vincent Buekenhout (VDAB)
Vincent looks at the various AI initiatives at VDAB, its AI4Good strategy, the way applications are designed, and most of all, the way ethics, measurements through KPI's, explainability and fairness play a role in this. Vincent will explain how ethics-by-design works at VDAB.
Check out more information on the speaker Vincent Buekenhout
How to implement error-proof Machine Learning in business-critical processes with explainability and human-centric design | Deevid De Meyer (co-founder @ Brainjar)
The past year, Brainjar has completed four similar document processing assignments where a 0% error rate was absolutely required. This presentation outlines how Brainjar used human-centric design and explainability to create machine learning systems that work together with humans to improve efficiency while reducing error rate. In this use case we will be talking about four cases specifically:
- Automatically processing vehicle rental orders via email or pdf
- Classifying scanned patient files
- Predicting unemployment benefits
- Processing scanned government documents
Check out more information on the speaker Deevid De Meyer
Introduction to Bias in ML | Matthias Feys (CTO @ ML6)
In this talk you will learn what Bias in ML models actually means. You will get insights in the complexity of the problem by going over of some examples and finally learn realistic ways to reduce bias whilst keeping the impact of those solutions on your application in mind.
Check out more information on the speaker Matthias Feys
Building Trust and Explainability into Chatbots: the Partena Ziekenfonds Business Case | Karel Kremer (CTO @ Oswald chatbots)
Chatbots and conversational interfaces are taking over customer
service departments by storm. In many companies, they provide first-line support to customers. Based on the Partena Ziekenfonds business case, Karel will share
a few critical success factors:
- Make sure people know they are talking/typing to a bot
- What if privacy and authentication is needed
- The Partena Ziekenfonds business case
- Human take-over; first-line vs second-line customer service
- Explainability: looking into the Bot's Brain
Check out more information on the speaker Karel Kremer
He Said, She Said: Finding and Fixing Bias in NLP (Natural Language Processing) | Yves Peirsman (NLP Town)
Yves presents several instances where bias has posed a risk to the successful adoption of NLP systems, and discusses what techniques exist
to discover these biases before the systems are put in production.
Check out more information on the speaker Yves Peirsman
He Said, She Said: Finding and Fixing Bias in NLP (Natural Language Processing) | Yves Peirsman (NLP Town)
Yves presents several instances where bias has posed a risk to the successful adoption of NLP systems, and discusses what techniques exist
to discover these biases before the systems are put in production.
Check out more information on the speaker Yves Peirsman
AI & Ethics: The Belgian Industry Vision & Initiatives | Jelle Hoedemaekers (Expert IT Standardisation, Agoria)
- Ethical AI: are Belgian companies working on it?
- What are the difficulties in applying ethical AI
- Practical tools available for implementing AI Ethics
- Overview of AI initiatives with a focus on ethics:
- AI4Belgium
- Kenniscentrum Data & Maatschappij
- DigitalWallonia4AI
- EU High Level Expert Group
Check out more information on the speaker Jelle Hoedemaekers
Responsible AI: An Example AI Development Process with Focus on Risks and Controls | Martijn Cuypers & Hugo Pires (PwC)
During the conference, we'll be looking at an example AI development process with focussing on the risks to be managed and the controls that can be established.
Check out more information on the speakers Martijn Cuypers and Hugo Pires
Obedient digital twins and intelligent beings contribute to ethics and explain-ability | Paul Valckenaers (UCLL)
Check out more information on the speaker Paul Valckenaers
Speakers
Patrick Van Eecke, Lic.Iur., LL.M., is a lawyer and leads the e-business department of the international law firm DLA Piper, which has 4200 lawyers in 30 countries and more than 60 offices.
Patrick Van Eecke is recommended by the Legal 500 and the European Legal Experts as one of the top lawyers in ICT law in Belgium. He is ranked as 1st Belgian lawyer in the "Guide to the World's Leading Technology, Media & Telecommunications Lawyers" and is also in the world's Top 20.
Patrick is a professor at the University of Antwerp, teaching European Information and Communications Law. He is also a guest lecturer on Internet law at various universities, such as Solvay Business Institute, Kings College London and Queen Mary University of London (LL.M. Information Technology Law).
Patrick is member of the Brussels bar (since 1994) and is an associate member of the American Bar Association.
Participants of previous sessions with Patrick were very excited, making remarks like "Heel veel interactie, zeer positief!", "Very interesting discussions", "Great examples and use cases", "duidelijke, concrete voorbeelden, pertinent", ...
Nazanin Gifani is a Data Protection Officer (DPO) and privacy expert at the technology consulting company Euro Nova. In her capacity, she regularly provides GDPR training and consultancy in data protection issues in sectors such as transportation, health, and technology. The focus of her work has been on artificial intelligence, privacy by design, data security, and data ethics.
She is a certified data protection professional (CIPP-E) and has an LLM in international law from Åbo Akademi University, Finland. Previously, She has given talks in events such as 'IAPP (International Association of Privacy Professionals) KnowledgeNet' and the 'DI Summit'.
Hans C. Arents is senior advisor digital government in the Flanders Information Agency, the agency tasked with the transformation of the Flemish regional government and local governments into a fully digital government. He is responsible for formulating forward-looking e-government policy and encouraging radical innovation in digital government service delivery.
Yves Peirsman is the founder and natural language processing expert at NLP Town. Yves started his career as a PhD student at the University of Leuven and a postdoctoral researcher at Stanford University.
Since he founded NLP Town to help organizations get more out of their texts, he has gained extensive experience in consultancy and software development for NLP projects in a variety of domains (health, legal, HR, education, finance, etc.).
Yves is also the organizer of the Belgium NLP Meetup, a regular event that brings together NLP enthusiasts in Belgium.
Deevid De Meyer is one of the mad engineers at Craftworkz. Deevid has been highly involved in building robotic applications. At Craftworkz, we take the whole "humanoid robot"-story one step further by adding some AI sauce on top of the robot application which adds an extra dimension. Deevid is the go-to person when it comes to AI & robotics.
Matthias Feys is CTO at ML6 and Google Developer Expert (GDE) for Machine Learning & Cloud.
ML6 focuses on state-of-the-art ML projects & has experience with bias in ML for some of its projects, specifically in the context of recruiting. ML6 has set up an ethical AI workgroup internally that have come up with internal guidelines & are also partner for national & European initiatives to regulate this field.
As GDE & (co-)organiser of Belgian data science/TensorFlow/cloud meetups, Matthias has also some speaking experience for a technical audience.
Jelle Hoedemaekers is an engineer working on ICT Standardisation at Agoria, with a specific focus on AI. He is guiding Belgian companies in applying ethical AI, and is participating in the development of AI standards internationally within ISO and on a European level in CEN/CENELEC.
Agoria is also actively participating in AI related initiatives in Belgium to promote and develop the sector, and Jelle is providing his expertise on the ethical issues.
Karel Kremer is CTO at Oswald chatbots.
Karel is a strong advocate of the human-in-the-loop approach that Oswald takes to chatbots. Indeed, Oswald wants its customers in full control of their chatbots. An Oswald license comes with a full-fledged platform that has everything you need to build, host and maintain your chatbot: a scenario editor, usage statistics, NLP tweaking tools, ... The platform even offers you a view into the bot's brain. To ensure their customers get the most out of their bot, Oswald offers extensive workshops on chatbot best practices as well.
Martijn Cuypers is an insurance director at PwC with more than 15 years of experience as an auditor and consultant within the insurance industry.
Martijn is an expert in governance, risk and regulations and he's responsible for the center of expertise related to the Insurance Data Management services in PwC Belgium.
Hugo Pires is a senior manager at PwC focusing on data management and on the risk management of artificial intelligence. Hugo has a strong background in the insurance sector as he worked for +10 years for large insurance players where he held various functions notably as internal auditor and strategist.
Paul Valckenaers is a Senior Researcher at UCLL, with over 30 years of experience as a researcher with KU Leuven and UCLL. Paul participated in 10+ EU projects as the main participant for KU Leuven and UCLL.
Paul currently develops digital twins for smart energy in the Horizon 2020 project STORY addressing in-depth interoperability. In addition, Paul is elaborating digital twins for manufacturing and inland shipping for UCLL in cooperation with KU Leuven.
He is the author of "Design for the unexpected". Paul is an experienced presenter and lecturer.
Questions about this ? Interested but you can't attend ? Send us an email !