Team Compl-AI-ance comprises experts in machine learning, law, economics, linguistics, data science, statistics, mathematics, and cybersecurity. We are passionate about ensuring the ethical use of artificial intelligence. Our team is a consortium of one public research Institute, ICoSys (HEIA-FR), and two startups active in the field of Artificial Intelligence: Neur.on AI Solutions Ltd, which builds AI solutions for the legal, financial, and insurance industry, and CertX AG, a certification and inspection body accredited by the Swiss Accreditation Service (SAS) specializing in safety, cybersecurity, and AI-algorithm testing. We are also a melting pot of different nationalities and generations.

Members‍

Jean Hennebert – ICoSys (Institute of Artificial Intelligence and Complex Systems of HEIA-FR) (Team Leader)
Paula Reichenberg – Neur.on AI Solutions Ltd
Arman Iranfar – CertX AG
Yael Iseli – ICoSys (Institute of Artificial Intelligence and Complex Systems of HEIA-FR)
Orane Laeri – Neur.on AI Solutions Ltd
Marco Repetto – CertX AG

The team comprises of co-workers of TÜV SÜD, with diverse ethnic, racial, and technical backgrounds. They are gathered for the sole purpose of ensuring that AI systems are developed and operated in a Trustworthy and Ethical manner. Together, they have created AI quality frameworks with which AI Practitioners and Quality Control Managers can adopt and apply to their use cases. With the knowledge and expertise in the standardization and regulatory landscape pertaining to AI, the team has also been able to perform quality assessments for AI systems. Being adept in the AI space, AI quality comes as no stranger.

Members

Rech Leong – Research Engineer, AI  (Team Leader)
Martin Saerbeck – CTO, Digital Service
Yao Cheng – Senior Principal Consultant, AI
Harleen Kaur Sidhu – Research Engineer, AI
Trisha Punj – Executive Engineer, AI
Ibrahim Halfaoui – Consultant, AI

Conformity… Mavericks? It's kind of an oxymoron. But precisely for this reason, it seemed the perfect fit for us. This name exemplifies the type of contradictions and paradoxes that the large-scale irruption of technologies labeled as "artificial intelligence" entail in our lives as a civilization. As a team, we share our passion and commitment to the responsible use of trustworthy and safe AI systems and the importance of the EU's leadership in shaping our world.

Our different backgrounds, ages, gender, and expertise bring to the table a wide variety of perspectives that will undoubtedly enrich our proposal. We will spare no effort in working towards this common aim that the Grand Challenge has put in front of us.

Team members

Mario Lopez de Avila – AEINAR (Team Leader)
Carolina Pina – Garrigues law
Marcos García-Caravantes / AEINAR
Marta Valero, Garrigues law

Our team is composed of experts in the fields of AI, law, ethics, data science and technology. As global citizens residing across the EU and beyond, we believe that the AI Act offers a much-needed framework to promote a “good AI society” in the EU, but also an opportunity to inspire legislation across the globe. The EU is displaying global leadership in its regulatory efforts, and by assessing the AI Act’s advantages and shortcomings, we hope to take our experience in the Grand Challenge to lead conversations about how to best regulate AI in our native countries and adopted homes.

Members

Dirk Brand – Stellenbosch University (Team Leader)
Emmie Hine – University of Bologna
Kholofelo Kugler – University of Lucerne
Pier Giorgio Chiara – University of Bologna
Parisa Osivand – University of Toronto
Yasaman Yousefi – University of Bologna and University of Luxembourg

Team dikAIos (Brunel University London) is comprised of expert academics from the College of Engineering, Design and Physical Sciences, and the College of Business, Arts, and Social Sciences, with varying levels of experience in academia, ranging from doctoral researchers and early career lecturers to experienced readers. The team represents Brunel’s Centre for AI: Social & Digital Innovation, which focuses on advancing and introducing new AI technologies at both theoretical and applied level.

Members

Asress Adimi Gikay (Team Leader)
Stelios Andreadakis
Pin Lean Lau
Elena Abrusci
Cigdem Sengul
Alina Miron

Team 'Machines of Loving Grace' comprises academics, lawyers, policy experts, technology analysts, data scientists, data protection officers, cybersecurity experts, applied ethicists, human rights experts and humanitarian practitioners. Hailing from University College London (UCL), data rights agency AWO, and the International Committee of the Red Cross (ICRC), we have advised and assisted a wide range of actors on what to do (and what not to do) with data and algorithmic systems – from policy design to governance, data management to technology deployment, strategic litigation to regulatory compliance.

Members

Michael Veale – University College London (Team Leader)
Ben Hayes – AWO
Aparna Surendra – AWO
Laureline Lemoine – AWO
Mahdi Assan – AWO
Vincent Graf – International Committee of the Red Cross (ICRC)

Qubit team is led by professor and researcher of Lithuania’s Mykolas Romeris University. Qubit team consists of six professionals from across tech industry and academia, including Vilnius Gediminas Technical University, Mykolas Romeris University, law firm, Kreab, IBM, Telia. All team members have different backgrounds and work in different countries (i.e., Lithuania, Belgium, Switzerland, UK). Artificial intelligence is one of our core focus areas, which allows us to cover different aspects of AI, such as AI law, ethics, engineering, and data science. Passion to technology is what unites Qubit team members and encourages to participate in this Grand Challenge competition.