Hippo AI Foundation
Unite Data
Defeat Inequalities
The Hippo AI Foundation is an altruistic data trustee and open-source AI accelerator. We unify, cleanse, and de-identify data from individual and institutional data donations. This means making data available without reward for open-source usage that benefits communities or society at large, such as the use of breast-cancer data to improve global access to breast cancer diagnostics.
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We empower
to foster
to defeat
to connect
to unite
The Hippo AI Foundation is an altruistic data trustee and open-source AI accelerator. We unify, cleanse, and de-identify data from individual and institutional data donations. This means making data available without reward for open-source usage that benefits communities or society at large, such as the use of breast-cancer data to improve global access to breast cancer diagnostics.
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We are maximising the positive social impact of the application of AI in healthcare by de-economising data and leveraging its social value, reinventing the European social market economy by believing in economic growth and prosperity for all. Global data and AI commons will improve health service coverage and health outcomes and consequently increase universal access to healthcare. De-economising data and AI in healthcare to protect the fundamental right on human dignity, human life, integrity, education, equality and healthcare.
Because the bedrock of medical science is trust, we ensure the reproducibility of research approaches and enable peer review through open and transparent AI. Also, we are advancing citizen science initiatives and levelling the field for researchers in developing countries with open access to data and AI. By facilitating research collaboration with greater openness, we help to avoid redundant efforts.
We're accelerating the development of artificial intelligence for startups and small and medium-sized enterprises by creating digital commons and pre-trained AI models for the healthcare sector. Data and AI commons will lead to reduced R&D costs, which will benefit society greatly. We are establishing transparent and open AI as an industry standard, resulting in greater trust and faster adoption.
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Our Approach
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Team & Initial Advisory Board
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Bart de Witte is one of the most influential forward thinkers of the digital health era. After a 20 year long career in global Tech companies such as SAP and IBM, he felt that the democratization of medical AI could only be driven out of a non-profit. Hence he founded the HIPPO AI Foundation. With this foundation, he wants to open the barriers between different possibilities and preferences for a more ideal future with greater social benefits. Shifting healthcare towards an “abundance” mindset to make it all inclusive and more sustainable.
Viktoria is the world's first breast cancer patient who has set her heart on providing everyone with access to the same level of care she received. To realise her vision, she collaborated with the young Hippo AI Foundation, to launch viktoriaonezero.org, which aims to become the largest and most comprehensive open data set on breast cancer pathology. The intense collaboration led her to join the Hippo AI Foundation as a co-founder. Viktoria is a communications and business development specialist with deep expertise in building startups and communities from scratch.
Matthias is a (data) scientist and creative mind in one. Data is the basis of artificial intelligence and thus the knowledge of tomorrow. That's why he has one central message: data is everybody's business! Everyone must be able to participate actively in our AI-driven future. As a knowledge broker, Matthias writes articles, gives lectures and produces podcasts to offer as many people as possible access to even abstract and complex topics.
Carolina is a legal expert and policy specialist with over four years of professional experience in project management and consulting. She is a digital issues researcher at LAPIN, a public sector and digital learning project manager at Rede Vocare, and digital communications and community engagement project manager at the Willy Brandt School of Public Policy.
„Do the right thing“: A results driven experienced leader in the communications space. Strong analytical mindset, entrepreneurial spirit and passion for building the future. Comprehensive Leadership experience for media companies including Spiegel, Axel Springer and Handelsblatt. Partners and clients include: iATROS, IKK Health Care, The New Health Club, Comparis group, Token Forge, New Media Accelerator, Clique.ai
Professor of Media, Communications and Social Theory, London School Economics
Co-Director Stanford Center for AI in Medicine and Imaging Associate Professor
Managing Partner KKA PartnersVenture Partner Early Bird Ventures
Assistant Professor for AI at KAUST Stanford, Max Plank
What they say about us
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Donations
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We started our humanitarian mission to create artificial medical intelligence as a common good. To achieve this goal, we need your support and are incredibly grateful to all our supporters that believe in our mission. You can support us with a monetary donation via direct debit/transfer, with details below. Every donation counts. Building data commons for medical AI are made possible by your donations.
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The problems we tackle
Access to capital defines who has access to the largest data pools. Data in healthcare is human life and should not be capitalised on.
Access to hardware and a large qualitative exclusive data pools is becoming a key differentiator for training AI models.
The most powerful models lead to the largest application - application leads to new data with every transaction.
Consolidation through mergers and acquisitions,
as well as direct data acquisition from providers.
AI in healthcare can only be trusted if the AI model and the data are open for peer reviewing.
Data monetisation and closed AI lead to an unequal relationship between large private organisations & individuals.
