Ethical Tech strives to advance technological innovation by embedding humanistic principles, ensuring the ethical development and deployment of digital and AI technologies.
In our digital age, the rapid deployment of digital and AI technologies within companies fosters innovation and efficiency. However, these advancements also heighten the risks of privacy violations, unfair societal representation (e.g., through biased predictive modeling), and intransparent and non-verifiable decision-making.
EDMI (Ethical Decision Making Intelligence) prepares companies through education & awareness to deploy these technologies ethically and responsibly; fostering innovation and safeguarding Digital & AI systems.
EDMI is a Swiss-based initiative that brings together industry, academia, and entrepreneurship. Supported by
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Innosuisse and the University of Zurich, our research focuses on understanding the specific needs of Pharma and Life Sciences companies.
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The ZHAW Institute of Computational Life Sciences provides the educational foundation for the program.
As we continue to develop EDMI, we are actively seeking collaborations with select companies to deploy EDMI alongside advanced AI solutions.
- Our Collaborators -
- Our Experts (Innosuisse Funded Research) -
Founder, AI Ethics, Strategy
Entrepreneur, AI-Expert, Ethicist
Medical & Social Ethics, Digital Society
- Our Education Modules -
As part of our Learning Intelligence initiative, EDMI offers a range of educational modules designed to help companies proactively implement digital and AI solutions. Tailored to different target groups, our modules provide strategic insights, and business-oriented approaches, and engage in forward-looking discussions about the future of technology.
If you're interested in bringing these modules to your organization or institution, please contact us for more information.
- Our Thought Leadership -
RESEARCH STUDY
The Hidden RoI of
AI Ethics
The Need for Ethical Decision-Making Intelligence (EDMI) in Healthcare to Balance Innovation & Trust
Michele Loi, Deepak Bansal, Christian Hugo Hoffmann
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Highlights how healthcare AI adoption patterns reveal overlooked ethical risks, especially in administrative and operational systems
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Exposes regulatory and resource gaps that shape the robustness of AI governance across organizations of different sizes
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Calls for tailored ethics education and governance frameworks to ensure trust, fairness, and responsible innovation in healthcare AI
OUR BOOK
AI Ethics in Practice
Navigating Academic Insight, Managerial Expertise, and Philosophical Inquiry.
Christian Hugo Hoffmann, Deepak Bansal
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Equips startups with foundational tools and frameworks for ethical decision-making in AI and responsible innovation
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Explores real-world challenges in implementing responsible AI for startups
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Engages in profound philosophical discussions, guiding readers to shape a virtuous, ethical path for AI in society
