Let’s use Trustworthy AI to contribute to a thriving human world.
Decision-enhancing algorithms, chatbots, and self-driving cars: Artificial Intelligence (AI) systems have become part of everyday life.
Our vision is that these systems should serve all humankind & the earth – and not vice versa.
The goal of leiwand.ai is to help organisations develop and deploy trustworthy AI – AI that delivers what it promises, fairly.
As a first step towards this goal, we have kicked off the initiative Trustworthy AI in Practice in order to enable the conversation between AI stakeholders in the working world, health, sustainability, retail and other sectors. Together we draw the map for AI practitioners to create AI systems that are trustworthy and beneficial for all.
Our Approach
We believe that digital technologies have to be shaped in novel ways in order to improve their quality and impact, and earn the trust of citizens and customers.
Trustworthy AI is not a simple label that can be attached to a product in hindsight: It is a design choice, and needs to be pursued throughout the AI system lifecycle. leiwand.ai is here to support the entire process.
To achieve this, we strike a novel, more holistic AI development path: From AI system inception to retirement, we bring societal, human and planetary needs into the equation. leiwand.ai devises strategies to maximize positive impacts and minimize risks throughout the AI system’s life cycle.
We bring not only AI expertise to the table, but apply Open Innovation methods and include a wealth of knowledge from various disciplines, such as social sciences and law to the entire AI development process.
Our interdisciplinary methods are designed to help organisations developing and deploying reliable AI solutions that benefit people, society and the planet, and contribute to social fairness and sustainability.
Our Services
Products
Making Trustworthy AI easy to apply: We design novel technologies and tools for AI developers and decision makers, that increase the social and ecological fairness, reliability and transparency of AI systems.
Consulting & Training
Hands-on support while developing and using AI: We support the crafting of compelling AI strategies, concrete project implementation and expertise building in your organisation via project support, coachings, trainings and keynotes.
Research
Building a new AI future: Achieving true trustworthiness is an ambitious goal, and the problem is far from being solved.
We are involved in several national and European research consortia (see fairbydesign - link) and are happy to support or participate in new projects that can bring us closer to achieving trustworthy AI for all.
Our Partners
Research Project fAIrbydesign
OSCE - Artificial Intelligence & Freedom of Expresssion
Stifterverband
Co-Author of "Handbuch Data Science"
Asigmo Instructor of Intensive Course on Trustworthy AI
Big Data, algorithm and AI: Data-driven research in science 2030
Austria Wirtschafts Service - Open Innovation Strategy for Austria
Stifterverband
OSCE - The Representative on Freedom of the Media
Meet The Team
“Through leiwand.ai I want to bring Open Innovation knowledge into AI development. Interdisciplinary co-development, connecting diverse actors, data, and perspectives, is a prerequisite for truly trustworthy AI – ensuring, that AI innovations serve citizens, business, and societies as a whole”
Dr. Gertraud Leimüller
Gertraud Leimüller is Co-founder of leiwand.ai and CEO of winnovation, one of the first open innovation consultancies in Europe, which she founded after her studies at Harvard University (MPA) and the Massachusetts Institute of Technology. As a leading open innovation expert and graduate of Vienna University (Dr.rer.nat.) she has been successfully transforming national and international organizations from the private and public sector for more than 15 years. Gertraud serves as an evaluator in European innovation programs and shares her knowledge as a book author, columnist and university lecturer.
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Mag. Bettina Gerbl
“I am particularly interested in making AI more widely understood and accessible, implementing scientifically rigorous standards and safeguards for the correct, fair and human rights-based use of AI technology, as well as opening up the field to include researchers and practitioners from a diversity of backgrounds.”
Co-founder of leiwand.ai Rania Wazir is a mathematician, with degrees from Stanford (B.Sc.) and Brown University (Ph.D.). For the past five years, she has been active as freelance data scientist, focusing on Trustworthy AI and Natural Language Processing (NLP). Rania is Vice Chairperson of the Vienna Data Science Group (VDSG), and coordinator of the VDSG's data4good initiative, which aims at increasing awareness of the benefits and pitfalls of digital technologies, and works with non-profits on data-based projects. She is also a member of Austria's Standards Committee on AI, and as Austrian delegate to various CEN and ISO working groups on AI has contributed to international
standardization projects in the field. In particular, she is the Project Lead of the ISO/IEC "Transparency taxonomy of AI systems" project.
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Bettina Gerbl joined the leiwand.ai team as project manager. She has a university degree in communication, and extensive experience of more than ten years in the creative and cultural industries as well as in the public sector and innovation consulting. With this diverse expertise, Bettina perfectly complements the leiwand.ai team with fresh viewpoints and strategies.
Rania Wazir, PhD
Thomas Treml is a Data Scientist with a focus on Natural Language Processing (NLP) and Machine Learning. His background is in Social Sciences and Geo-Informatics. He is also a member of Austrian Standards’ committee on Artificial Intelligence (AI), and a dedicated contributor to the open-source software communities.
Mag. Thomas Treml
Silvia Wasserbacher-Schwarzer is leiwand.ai's Chief Strategist. She has spent more than ten years in open innovation consulting, where she focused on the field of Digital Transformation, and gained in-depth familiarity with science, health and sustainability topics. She is an experienced facilitator of co-creation workshops, working with highly diverse groups of participants to achieve novel insights and solutions. Silvia has a background in political sciences, communication and public affairs.
Silvia Wasserbacher-Schwarzer, MA
Maria Ronacher is a Data Scientist with a background in software development. Before joining leiwand.ai, she spent more than ten years developing commercial software, most recently at the Austrian startup TourRadar. She is very interested in both tech and social fairness matters and has a track record in such projects. Amongst others, she worked at Rails Girls Summer of Code initiative, where she helped enabling women start their careers in programming and in Open Source. Maria also supported PyCon Russia, an international community for the Python programming language, as conference co-organizer. She led a data4good project and currently serves as member of the Vienna Data Science Group (VDSG).
