The EU AI Act
It’s finally done: the European Union has created a comprehensive legal framework that it will use to make AI developed and deployed in the EU trustworthy.
Complexity Science meets Digital Humanism
In a 3-day workshop young researchers learned about the importance of human-centric complex systems science and digital humanism. This spring school took place @ Complexity Science Hub Vienna and was part of the project Roadmaps Digital Humanism for which Complexity Science Hub and leiwand.ai partnered up.
Trustworthy AI in 2030 - a Foresight Exercise
In which industries and markets will Trustworthy AI play adominant role in 2030? We discussed this exciting question with a select group of experts from different AI application research areas, in a future foresight workshop.
Ethical AI & Regulation: Two podcast episodes
The world’s largest media intelligence association FIBEP asked Rania Wazir for an Interview about Ethical AI and AI and Regulation. “The interview was so much fun, that it became too long for one podcast episode”, says Rania, co-founder of leiwand.ai.
How can AI become a trustworthy co-worker?
How trustworthy is “colleague” AI in work environments? How can decision support by artificial intelligence (AI) systems be designed in such a way that humans actually retain control and autonomy? These questions were discussed in an interdisciplinary group at the workshop "Trustworthy colleague AI”, initiated by leiwand.ai.
AI is not yet green
Green AI - How do we ensure that Artificial Intelligence (AI) itself becomes ecologically sustainable? How can sustainable AI be evaluated and its potential exploited? These questions were discussed in an interdisciplinary group at the workshop "Trustworthy AI and sustainability", initiated by leiwand.ai.
Healthcare needs trustworthy AI
To what extent does Artificial Intelligence (AI) already influence healthcare today, and what will the future bring? What role do trustworthiness and fairness play in the adoption of AI technology in the field of healthcare? These questions were discussed in an interdisciplinary group at the workshop "Trustworthy AI in healthcare", initiated by leiwand.ai.
AI Comedy of Errors, Or: The Importance of Choosing Your AI Performance Metric With Care
Using the correct measure of performance is one of the first steps in assessing the possible impact of an AI system. But which performance metric is "the correct one"? Is it accuracy? The answer, as always, depends on the context in which the AI system will be used. In this blog post, we take a closer look at what accuracy means in machine learning, and, using the example of a "hate speech detection" AI system, examine which other performance metrics might sometimes be more appropriate.
Trustworthy AI: a working definition
There is, as yet, no uniformly accepted definition of Trustworthy AI. However, several leading groups of experts have already laid the foundations that can be built on. For leiwand.ai trustworthy AI is a design choice, and needs to be pursued throughout the AI system lifecycle.
Trustworthy AI In Human Resources
To what extent does Artificial Intelligence (AI) already influence our working world today, in particular with regard to human resources, and what will the future bring? What role do trustworthiness and fairness play regarding AI Implementation? These questions were discussed in an interdisciplinary group at the workshop "Trustworthy AI in human resources", initiated by leiwand.ai.
Initiative: Trustworthy AI In Practice
„Trustworthy AI in practice“ is an Austrian initiative launched by leiwand.ai to start the interdisciplinary discussion on trustworthy artificial intelligence (AI) in Austria. The aim is to jointly develop a charter with all relevant stakeholders committing on action items to promote trustworthy AI.