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[Discussion panel] Ethics in Data Science and AI

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Cantersteen 10

1000 Belgium

Belgium

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Join us for a panel focusing on ethical technologies, especially in the fields of Data Science and AI.

About this Event

New technologies often come with new moral questions. And with the emergence of Machine Learning and the fact that computers can now perform tasks previously done by human beings, we ourself wondering where ethic stands in all of that.

It's not only about the possibility of misuse of data, but also about data privacy, biases, algorithmic decision-making ethical guidelines, hacking and issues of transparency. It also raises the question of who owns the data, who can access it and under what conditions.

As Data Science and Artificial Intelligence are technologies that keep on gaining momentum, especially with the increasing number of data produced every day, organizations will have to pay attention to ethics, fairness and transparency to keep customers' trust.

We are going to address these new issues and talk about what ethics in Data Science and AI is with 4 specialists and learn more about their view on this topic and how they are advocating for ethical Data Science and AI.

👥 About our guests

  • Andrew Pease - AI and Data Science Senior Director at Deloitte

Andrew joined Deloitte Belgium in September 2017 as a Senior Director, bringing over 20 years of experience in helping customers understand and execute advanced analytics. He is a passionate speaker and writer about machine learning, artificial intelligence, and the impact of technology innovation on business and our lives. With a primary focus on the life sciences and EU institutions, Andrew derives deep personal and professional satisfaction from helping organizations to tackle big data challenges using powerful analytic techniques such as decision management, predictive modelling, time-series forecasting, optimization, and text mining. Andrew holds a master in clinical psychology.

  • Martin Canter - Head of Ethical AI at Omina Technologies

Machine learning engineer with a demonstrated history of working in artificial intelligence and numerical modeling. He is highly skilled in Python and Matlab/GNU Octave. Additionally, Martin has a strong scientific background with a Ph.D. in Oceanography and a Master’s Degree focused in Astronomy and Astrophysics from Université de Liège.

  • Stephanie Rossello - Lawyer and Researcher at CiTiP (Centre for IT & IP Law)

Stephanie obtained a Bachelor of Arts in Social Sciences at the Roosevelt Academy in Middelburg (The Netherlands) (2007), followed by a Master of Law at the KU Leuven (2011) and a LL.M. at the University of Chicago (2012). She practiced as a lawyer at national and international law firms specializing in Belgian contracts and tort law, complex construction litigation, antitrust and data protection law. In parallel she was also a teaching assistant in public international law at KU Leuven. Moreover she acted as a legal consultant on GDPR for an international financial institution. She is now a researcher at the CiTiP, working on the MUSKETEER project where she is providing legal and ethical guidance on the development and use of machine learning algorithms to augment shared knowledge in federated privacy preserving scenarios. Her areas of research interest include data protection and privacy, human rights law, public international law and tort law.

  • Gail Rego - Senior Communication and Media Manager at European Digital Rights

Gail is a human rights activist with a decade of experience in communication and community building roles in countries like the UAE, Colombia, Austria, Kenya, and Belgium. She is dedicated to bringing her communication and human rights background to the digital rights and tech for good sector. She has previously worked at Missing Children Europe, Impact HUB and MicroLoan Foundation. She is also an activist with Young Feminist Europe and the People of Colour Brussels group. She hopes to help bridge the gap between inclusive communities, intersectional identities and technologies such as AI to face the growing inequality, misinformation and polarization of societies.

🚀 About Le Wagon

Le Wagon is Europe's leading coding school for entrepreneurs and creative people. We are now present in 40 cities worldwide, with over 120 startups and 10,000+ alumni. Le Wagon teaches students to develop web applications from scratch or to give them the skills to enter a data science team. Our cutting-edge curriculum and world-class teachers give students all the skills and tools needed to kick-start their tech career, land a job as software developers, product managers, data scientists, data analysts or launch their own startup.

If you'd like to hear more about us, reach out Ana, Brussels city Driver at brussels@lewagon.org

Next starting dates are:

Web Development

  • Full-time (9 weeks): April 12th to June 11th, 2021-
  • Part-Time (24 weeks): April 10th to September 18th, 2021

Data Science

  • Full-time (9 weeks): April 12th to June 11th, 2021
  • Part-time (24 weeks): April 10th to September 18th, 2021
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Date and Time

Location

Online

Cantersteen 10

1000 Belgium

Belgium

View Map

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