Governance

Name Surname
Co-Founder and Chief Science Officer at Spikes

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.

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.

On-line risk management tool for the translation of high risk content from pharmaceutical, biotechnology, CRO, and healthcare organisations worldwide, helping partners to accelerate the development timelines, streamline product launches, and reduce R&D costs.
Unbabel
BIAL
IT
VdA

This project will investigate conversational AI and retrieval-augmented language generation, improving the generation of trustworthy dialogue responses based on previous context and external information.
INESC-ID
Unbabel
Visor.ai

We’ll be continuing work on context-aware MT based on conversational data such as emails and chat, to improve quality and speed of translations.
IT
INESC-ID
Unbabel

Technological platform powered by AI that will make telerehabilitation the new standard of care, creating the escalation effect for quality care.
Sword Health
CHUSJ
Pestana Hotel Group
Sonae MC

Combines a non invasive neural interface together with context-aware large language models to bring a new reality to patients who lost their ability to communicate.
Unbabel
Champalimaud Foundation
Fraunhofer
INESC-ID
ISR-Lisboa

Intelligent assistant that presents relevant information extracted from clinical texts to help physicians make better and faster decisions.
Priberam
CHUSJ
Learning Health

AI-powered media monitoring platform that delivers actionable insights beyond human scale.
Priberam
BIAL

Fully personalised and tailored solution powered by AI to actively prevent burnout and anxiety.
EMOTAI
ISR-Lisboa

Solution that significantly reduces AI/data bias of insurance claims automation, improving the fairness of the decisions.
Automaise
CISUC
Sonae MC

Enables auditable AI decision-making in a visual, human understandable, fashion, eliminating the "leap of faith" paradox that often arises when deploying AI in mission-critical processes.
Automaise
FEUP
Sonae MC

An intelligent system for efficient legal research and knowledge discovery of public and proprietary data.
Neuralshift
INESC-ID
VdA

Technological platform powered by AI that enables digital pelvic floor therapy, integrating AI-powered sensor and AI powered user interfaces.
Sword Health
Sonae MC
Pestana Hotel Group

A product that empowers Customer Support Agents to interact with customers from different cultures in a more culturally appropriate and location-friendly way.
Unbabel
Pestana Hotel Group

Visor.ai Conversational AI Platform
A Conversational AI platform which is fully compliant with Responsible AI best practices, allowing customers to have a constant view of whether basic requirements are being met.
Visor.ai

The first Responsible AI Audit Software for Contact Centers, which will allow companies to have real-time visibility for compliance with new or existing regulations or protocols.
Visor.ai
Sonae MC
VdA

Customer Support Agent Assistant that will allow for the automation of repetitive and time-consuming tasks, helping support agents spend less time on low value tasks, and augmenting productivity.
Automaise
CISUC
Sonae MC

Data Explainability framework that helps users understand how data is managed across the organization and the quality of existing datasets.
YData
Fraunhofer
Sonae MC

Framework that helps understand the relationships between variables, ensuring unbiased, accurate, and ethical decision-making based on reliable cause-and-effect insights.
YData
CISUC

Product that enable easy data access and the mitigation of the discrimination of persons or groups in high-risk AI systems, making progress toward the directives of the EU AI Act.
YData
CISUC
Sonae MC

Set of fair and explainable biometric services that can match faces and detect whether they are live people or presentation attacks such as photos or masks.
Youverse
Pestana Hotel Group

This project will follow a three-pronged approach to enhance the efficiency and scalability of AI models: system-level optimization, cloud-level optimization and self-adaptation.
INESC-ID

Researchers will investigate ways to compress and distill pretrained models (like BERT, GPT-3 and ViLBERT) without compromising their accuracy.
IT
INESC-ID
Unbabel

This project aims to understand how nature evolves highly efficient systems like our brains, and how we can apply the same principles to ML.
CISUC
IT
Unbabel

This project aims to find a balance between ensuring data privacy and security, and leveraging customer insights in a competitive landscape.
INESC-ID
YData

Since many ML/AI applications require data sharing, we will build software development frameworks that help preserve privacy.
Fraunhofer
FEUP
YData
YooniK

We will develop new methodologies and guidelines to help AI/ML developers ensure compliance with data protection (GDPR, HIPAA, CCPA, PIPEDA) and AI (EU AI Act) regulations.
Fraunhofer
YData

This project will look into meta-learning and data generation/manipulation in order to build robust algorithm cards that evaluate models based on responsible AI principles.
FEUP
Fraunhofer
INESC-ID

Combining the power of Explainable AI and causal inference to create transparent and interpretable models, unraveling causal relationships and providing insights for responsible decision-making.
CISUC
Champalimaud Foundation
Fraunhofer
INESC-ID
ISR-Lisboa
IT
Automaise
Unbabel
YData

This project will investigate and implement model-agnostic approaches, to estimate measures for the reliability/confidence/uncertainty of AI tools.
CISUC
Fraunhofer
INESC-ID
ISR-Lisboa
IT
Unbabel
CISUC

AI tends to reflect our own social biases. With this project, we’ll develop bias detection techniques, data “unbiasing” operations, and a methodology to automatically assess a model's fairness.
CISUC
Fraunhofer
ISR-Lisboa
Unbabel
YData

We will develop trustworthiness mechanisms to support human-computer collaboration, and explore those through co-creation tasks.
CISUC
INESC-ID
ISR-Lisboa
Unbabel

This project will look into NLP and MT and its integration with complex knowledge bases, such as medical terminology, and wider media-related applications.
IT
INESC-ID
Automaise
NeuralShift
Priberam
Unbabel

We will develop explainability mechanisms tailored for computer vision medical applications, in order to improve patient diagnosis and treatment.
ISR-Lisboa
INESC-ID
Emotai
NeuralShift

Social AI aims at creating AI that responds and interacts with humans in a natural, responsive and responsible way, creating a symbiotic relationship.
INESC-ID
ISR-Lisboa

We propose a new approach to brain-computer interface (BCI) for language input based on a seamless interface combined with a large pre-trained neural language model.
Champalimaud Foundation
ISR-Lisboa
IT
Emotai
Unbabel

Recent advances in robotics have created a new generation of teleoperation robots. We’ll make them more natural by designing systems that comply with human social norms.
ISR-Lisboa
INESC-ID

Responsible AI Legal & Ethical Report and Solutions
Knowledge base around the legal, regulatory and ethical challenges and respective solutions to assist companies in the creation of responsible AI products.
VdA

Responsible AI Legal & Ethical Guide, and Feasibility Studies
Provide legal and ethical feasibility studies related to the developed solutions and build principles, guidance, criteria and methodologies for Responsible AI, in relation to privacy, data protection, cybersecurity, ethics, biases, and sustainability.
VdA
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. President of the European Association for Machine Translation and 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.

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.