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21 articles
Digital services are supposed to make our lives easier – and they do. But with every simplification, knowledge is lost. Why the boundless convenience of technology makes us lazy and how we can use it more responsibly again.
UX DesignMaterna Group6 minutes
Digital content must be accessible to everyone – regardless of physical, temporary or situational limitations. This text shows what accessibility means, who it affects and how it can be implemented.
ITMaterna Group8 minutes
This framework of 10 principles is intended to help both businesses and governments to implement AI in a better way and with less risk.
AI & Machine LearningBenjamin Talin13 minutes
Experts have studied generative AI extensively. This article highlights the key weaknesses of generative AI, providing insights into its limitations based on research.
AI & Machine LearningElijah Falode11 minutes
AI models can harbor a number of risks. However, if artificial intelligence is used thoughtfully and responsibly, the use of such tools can also bring great potential.
AI & Machine LearningAlexandra Anderson7 minutes
It's much easier to put out mindless content than it is to create educated, proven statements, and this creates one of the greatest quests of the 21st century. - To find the truth.
Internet Services & MultimediaFarzad Khosravi8 minutes
On 9 March 2021, the EU Commission presented the objectives for the digital age until 2030. The core points of the digital strategy are competence building, the digital transformation in companies, the creation of secure and sustainable digital infrastructures as well as the digitalisation of public services.
Regulations & LawsKarin Dietl6 minutes
The implementation of artificial intelligence (AI) in companies is an important step toward innovation and efficiency. But with opportunities come risks. In this blog article, we take a look at AI risks and the importance of robust AI governance.
AI & Machine LearningBritta Daffner5 minutes
The article deals with the importance of responsible automation in companies. While automation can lead to efficiency gains and cost savings, it is important to also consider the impact on employees, society and the environment. The article provides specific recommendations on what companies should consider when automating, including involving teams, considering ethical standards, and regularly evaluating impact. Only through responsible automation can companies achieve long-term success and positive impact.
AutomationBritta Daffner5 minutes
All AI models today are trained on a very narrow set of data that is anchored in past knowledge (and it's not even your knowledge). Add to that the issues of transparency and bias, and you will understand that you are merely a prisoner, walking in circles in what you might think is the prison's backyard, but it's actually nothing but a room with no windows covered with images of the outdoors. Oh, and the door is locked from the outside. Do you really want Microsoft, Google, OpenAI, and others tech companies to be your warden?
AI & Machine LearningAric Dromi11 minutes
EU Commission proposed April 2021 first-ever legal framework for AI. But some Asian countries are following suit, not only to lead in the development of AI systems but also to create a positive environment for the use of AI. Leading the way is China. Will a global set of rules from China soon follow?
AI & Machine LearningBritta Daffner6 minutes
Crises promote psychological stress and existential fears among employees. Is my job secure? Can I feed my family? What if costs continue to rise? How can I manage it all? To meet their employees' increased need for security while still promoting personal responsibility, companies should build a resilient culture of trust.
EthicsSimone Belko8 minutes
