The Responsible AI consortium
Meet the research centers, startups, and industry leaders members of the consortium.
AI is already changing how we interact with the world, but change doesn’t have to be scary. We can start building it better today.
Startups
Unbabel
Unbabel is creating a world without languages barriers so that businesses and people can thrive across boarders.
Feedzai
Feedzai is a data science company that develops machine learning algorithms to identify and help fix fraudulent payment transactions.
Sword Health
Sword Health is a healhcare startup that helps people access virtual and digital physical therapy, no matter where they are.
Automaise
Automaise offers an AI cutting edge platform that allows companies to streamline their customer service and decision making processes.
Emotai
Emotai is helping to fight burnout by providing AI-powered neurotechnology tools with a big focus on private, effective mental health treatment.
NeuralShift
NeuralShift develops last-gen artificial intelligence technologies to build products tailored to companies' specific automation needs
Priberam
Priberam is the world's largest online dictionary for European Portuguese, and the leading supplier of NLP and language data for the Portuguese language.
Visor.ai is an Artificial Intelligence-powered platform that enables to optimize and automate Customer Service interactions with no code.
YData
YData Fabric helps Data Scientists access to sensitive data, while ensuring privacy, and fixes poor data quality to help build scalable AI solutions.
Youverse
Youverse creates developer-first face biometrics solution to help build passwordless authentication that is safe, private, and seamless.
Research centers
Champalimaud Foundation
The Champalimaud Foundation carries out research into cutting-edge treatments in the areas of neuroscience and cancer. The foundation supports both research programmes, and clinical services.
CISUC
The Centre for Informatics and Systems of the University of Coimbra (CISUC) is a large Portuguese research centre in the fields of Informatics and Communications. Currently, the centre supports over 150 researchers in the fields of Computer Science and Engineering.
FEUP
FEUP, or the Faculty of Engineering at the University of Porto, is renowned institution in a variety of areas of Engineering. It also supports technical research with a focus on computing and data analysis.
Fraunhofer Portugal AICOS
The Associação Fraunhofer Portugal Research (Fraunhofer Portugal), is a non-profit private association focused on creating scientific knowledge with practical applications to improve the social well-being of its end-users.
INESC-ID
INESC-ID, is a research and development and innovation organization working on the fields of Computer Science and Electrical and Computer Engineering. It promotes cooperation between cooperation and industry by focusing on daily life problems.
IST
IST, Lisbon’s Technical Institute, is one of the most renowned public schools of engineering and technology in the country. Its research program includes 23 Centres and Institutes that pursue topics with strong social impact in the fields of Architecture, Engineering, Science and Technology.
IT
The Instituto de Telecomunicações (IT) is a non-profit organization that consists of a partnership of nine institutions that conduct research and development in the field of Telecommunications. The IT is involved in fundamental and applied research both nationally and internationally. Additionally, IT engages in public awareness initiatives, transfers knowledge to industry, and provides consulting services in a non-competing manner.
ISR/IST-ID
IST-ID is a private not-for-profit institution founded by IST for carrying out S&T activities, fostering knowledge transfer, and promoting RD&I activities and projects. ISR|Lisboa is a Center of Excellence, promoting advanced multidisciplinary R&D in robotics, computer vision, control, and autonomous systems.
Law firm
Vieira de Almeida
Vieira de Almeida (VdA) is a leading international law firm with more than 40 years of history, recognised for its impressive track record and innovative approach in corporate legal services.
Industry leaders
BIAL
BIAL is an innovative pharmaceutical company founded in 1924 in Portugal. Its research grant supports scientists developing work in the area of neurophysiology and mental health.
Centro Hospitalar de São João
The University Hospital Center of São João, is the main hospital of the city of Porto, Portugal, and also home to a medical school, the Faculty of Medicine of the University of Porto. It supports researchers' work with real patients and real data to bring forth advancements in medical treatment.
Learning Health
Luz Saúde is one of the biggest private healthcare provider groups operating in Portugal. It also boasts of a large research grant for doctors and scientists developing cutting edge treatments.
Grupo Pestana
Pestana Group is the largest tourism and leisure group in Portugal, known particularly for its hotels and resorts. They’re dedicated to using and developing technology to transform the hospitality sector while providing a luxurious experience.
SONAE
SONAE is the biggest market leader in food and retail in Portugal, boasting a diversified portfolio of businesses in retail, financial services, technology, shopping centres, telecommunications.
Governance
The Center for Responsible AI governance ensures effective collaboration, ethical practices, and standards in the development and deployment of artificial intelligence technologies, promoting trust, accountability, and responsible innovation within the Consortium.
Board
Professor at Carnegie Mellon University, Fellow of the US National Academy of Inventors, IEEE Fellow (and past President). Director of the CMU-Portugal program.
Board
Professor at Instituto Superior Técnico (and former president, 2012-2019). President of INESC and senior member of the IEEE. PhD degree from University of California, Berkeley.
Board
VP of Product at Zendesk, co-founder of Cleverly and of Talkdesk. Forbes 30 Under 30 in the enterprise technology category and Agenda Contributor to the World Economic Forum.
Board
Co-founder and Chief Science Officer of Feedzai. PhD from University of Wisconsin-Madison, member of the Global Innovator Programme at the World Economic Forum
Board
Co-founder and CEO of Unbabel. Ph.D. in Language Technologies from Carnegie Mellon University and faculty member of Singularity University
Scientific Board
Full Professor at IST, University of Lisbon (retired). Her research at INESC-ID covers many different topics of speech and language processing. Isabel is a Fellow of IEEE and International Speech Communication Association.
Scientific Board
Director of the Brain and Creativity Institute at the University of Southern California. Internationally recognized leader in neuroscience, António’s research has deeply improved our understanding of brain processes underlying emotions, feelings, decision-making and consciousness.
Scientific Board
Francisco heads the Machine Learning Team at the National Institute of Mental Health, part of the National Institutes of Health. He started this research group in 2018, to develop machine learning methods to further scientific discovery in neuroscience, psychology, and psychiatry, and support researchers across the NIH.
Scientific Board
Senior Director of AI Research at Feedzai where he heads the Fairness, Accountability, Transparency and Ethics (FATE) research group since 2019. Previously, Pedro was Postdoc at the University of Chicago where he co-developed the Aequitas library, the first open-source toolkit to audit bias and fairness in automated decision-making systems.
Ethical Committee
Professor at the School of Arts and Humanities at the University of Lisbon. Consultant for Unbabel. President of the European Association for Machine Translation and Vice-President of the International Association for Machine Translation.
Ethical Committee
Director of Strategic Policy at United Nations Development Programme's (UNPD) Bureau for Policy and Programme Support. PhD in Public Policy from the Lyndon B. Johnson School of Public Affairs at the University of Texas.
Ethical Committee
Professor in social and ethical AI, and Wallenberg chair on Responsible Artificial Intelligence. Scientific Director of WASP-HS (Humanities and Society). Member of the European Commission High Level Expert Group on Artificial Intelligence, the World Economic Forum Council on AI, the IEEE Global Initiative on Ethically Aligned Design of Autonomous and Intelligent Systems, the Delft Design for Values Institute, the European Global Forum on AI (AI4People), the Responsible Robotics Foundation, the Dutch AI Alliance on AI (ALLAI-NL) and of the ADA-AI foundation.
Executive Committee
VP of Product Innovation at Unbabel. Led the creation of game-changing AI products that helped Unbabel to reach the top 3 of the most innovative enterprise companies in the world according to Fast Company.
Executive Committee
Founding Team and VP of Strategic Biz Dev of Sword Health, MSc in Biomedical Engineering from University of Coimbra and MBA from Porto Business School, Invited Lecturer at University of Minho and Coimbra.
Executive Committee
Professor at Instituto Superior Técnico, VP of AI Research at Unbabel. Ph.D. in Language Technologies from Carnegie Mellon University. ELLIS Fellow and co-director of the ELLIS Program in Natural Language Processing.
Executive Committee
Grant Coordinator at Unbabel. Previously Investment Consultant at Deloitte. Possesses vast expertise in financial and strategic analysis, as well as in managing projects subject to public co-financing programs.
Executive Committee
R&D Project Manager at Unbabel, with 5+ years of experience in co-funded research and innovation projects. Former Incentives Consultant at Deloitte and MSc. Programme Manager at Iscte. Holds BSc in Economics and MSc in Management from Nova School of Business and Economics.
AI Augmented
Executive Committee
Innovation Product Manager at Unbabel. Bsc. in Applied Mathematics from IST, University of Lisbon and Msc in Finance from NOVA School of Business and Economics. 8+ years of experience working at the intersection of data science, innovation and responsible product development. Data Science for Social Good PT Lead Team member.
Executive Committee
Innovation Manager at Sword Health S.A., MsC and PhD in Chemical Engineering from University of Aveiro; 8 years experience in consulting field, mainly Funding Advisory for R&D and innovation incentives.
Manifesto for Responsible AI
Building AI products that are fair, simple, and clean.
1
Promoting fairness and social responsibility in AI systems
Develop fair AI systems that detect and reduce bias and negative impacts to protected groups, and that are used in socially responsible ways.
2
Improving trust with transparent and fair AI
Develop explainable AI systems that explain decisions to people, and learn interactively with humans, in trustworthy, transparent, and human-centered ways, improving both models and people's lives over time.
3
Ensuring efficiency and sustainability in AI systems
Develop automated, accessible, and efficient AI systems, easier to maintain, monitor, upgrade, control, and scale with energy efficient and sustainable cloud resources.
4
Advocating for Responsible AI usage for digital transformation and data privacy
Develop responsible uses of AI, such as the ones that promote intelligent digital transformation, democratization of access to information and services, safekeeping of data privacy, or compliance with best practices
5
Innovating fundamental research in Responsible AI
Develop fundamental research innovations in those dimensions of Responsible AI.
6
Impactful application of Responsible AI in product development
Develop products and services leveraged by these applied research innovations, that implement Responsible AI in practice, producing significant impact in the economy.
7
Nurturing world-class talent in Responsible AI
Attract, train, and retain top world-level talent in Responsible AI.
8
Fostering Responsible AI awareness and education
Develop long lasting practices, activities, or events such as the Responsible AI Forum.
"The Responsible AI Consortium represents a unique level of collaboration at the national and international levels. All of these partners have come together to collaboratively develop new forms of more responsible Artificial Intelligence – meaning AI that is less biased, more explainable, more efficient, and environmentally friendly.”