ICAI is an open national network of academic, industrial and governmental partners that is based at Amsterdam Science Park. At present, ICAI has sixteen partners: Ahold Delhaize, Bosch, Delft Imaging Systems, Delft University of Technology, Elsevier, Inception Institute of Artificial Intelligence Ltd. (IIAI), ING, National Police, Qualcomm, Radboudumc, Radboud University, Thirona, TomTom, University of Amsterdam, Utrecht University and Vrije Universiteit Amsterdam. So far eleven research labs have been founded: AI for FinTech Lab, AIM Lab, AIRLab Amsterdam, AIRLab Delft, Atlas Lab, Delta Lab, Elsevier AI Lab, Police Lab AI, QUVA Lab, Radboud AI for Health Lab and Thira Lab, with more to come.
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Innovation Center for Artificial Intelligence
The Innovation Center for Artificial Intelligence (ICAI) is a national initiative focused on joint technology development between academia, industry and government in the area of artificial intelligence. The Netherlands has the talent, the world-class research and the longstanding tradition in AI education to be one of the world’s top ranked countries in terms of innovation power. ICAI brings these positive forces together in a unique national initiative.
ICAI’s innovation strategy is organized around industry labs, these are multi-year strategic collaborations with a focus on technology and talent development. ICAI will create innovative AI-applications, distribute AI-knowledge for companies and organizations in the form of technology products and tools, train corporate employees through dedicated courses, and simultaneously maintain a connection with other world-level science centers. ICAI will also facilitate commercialization by enhancing start-up and spin-outs. -
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Civic AI Lab
The Civic AI Lab is a is a collaboration between City of Amsterdam, Vrije Universiteit Amsterdam (VU) and University of Amsterdam (UvA). Civic AI Lab focuses on the application of artificial intelligence in the fields of education, welfare, environment, mobility, health, ethics, and governance.
Civic AI Lab is one of the seven University of Amsterdam projects to be awarded 10.000€ from the "Gewaardeerd!" fund of the Ministry of Education. We aim to use these resources to spread the word about developing AI technology that promotes economic and social human rights, such as the right to health, education and employment, while respecting fundamental human rights such as non-discrimination and equality of opportunity.
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Events hosted by the AI, Media and Democracy Lab
Since it's launch the AI, Media en Democracy Lab hosted different events of which you can view the recordings (5x) below.
(5) AI for the public: Engaging with new audiences (22-06-'22)
During this event, we will explore all the new possibilities, products, and ideas that AI technologies are making possible inside newsrooms across the world. Drawing from our panellists' research and experience, we are set to find the ‘holy grail’ of interacting with new audiences.
(4) Using AI in the newsroom: Changing media industries (22-04-'22)
During this event, we discuss how AI-based technologies are being used inside the newsrooms to collect, create, and distribute news products and how these technologies are impacting professional roles and journalistic values.
(3) Policy responses to deal with opinion power and structural dependencies (01-03-'22)
What are potential policy responses to tackle the concentration of opinion power, the growing dependency of news media on social media platforms, and how can such responses help create counterpowers? During this workshop, we primarily aim to discuss the changing nature of opinion power in the platform context and how news media and the wider media ecosystem are affected. More specifically, we would like to focus the debate on concrete policy suggestions and their potential to tackle the threats of media concentration and explore approaches that can help deal with opinion power, the growing dependency of news media on social media platforms, and create counterpowers.
(2) The future of news with voice assistants (22-12-'21)
Voice assistants are not new but are becoming more popular. While voice technologies are still under development, their potential as voice concierges will create new ways for newsrooms to engage with their audiences. This technological revolution enhanced by smart assistants brings multiple concerns for the media ecosystem.
(1) Algorithmic transformations, new audiences and changing newsrooms (17-9-'21)
This is the first discussion series of the AI, Media, and Democracy Lab. The conversation with Pablo Boczkowski and Edson Tandoc, moderated by Tomás Dodds discusses the impact of new digital technologies on journalistic roles and professional values.
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Projects of the AI, Media and Democracy Lab
The AI, Media and Democracy Lab has various projects. In this article you will find an overview of the different projects that are clustered in four themes. A number of these projects can also be found on open research.
Blue Sky thinking: The media of the future
This is the cluster to think big, and identify scenarios how AI can contribute to innovation in the media, new forms of media and journalism, such as more user-oriented forms of civic journalism or new business models for AI-driven services. The core question here is what kind of media do we want to see in 15 years, what is the role of AI and what needs to happen (in terms of innovation, competition, regulation, etc.) to get there.
Reshaping the relationship with the audience
This cluster research how the introduction of AI is changing public spaces, the relationship between media, users & AI and effects for democratic participation. How can AI-driven applications be designed in a way to earn peoples trust and acceptance, solve problems such as disinformation, but also how AI-driven applications can create new user experiences, e.g. through linked data, virtual assistants etc? Importantly, how can we use data science to better understand user engagement and participation, experience of new technologies (chatbots, VR, robot journalism) and thereby gain insights that allow us to develop the next generation intelligent and empathic systems. The Citizens Data Lab is part of this cluster.
Public Values and AI
This cluster looks into questions of public and media values ad how core public values that the media stand for can be conceptualized, articulated and formalized in technology and institutional design. In this context we are particularly interested in ways of using AI in the media to promote public values, such as showing users relevant information and diverse perspective, optimising for joy of reading but also transparency and explainability.
Creating the legal, ethical and organizational conditions for AI in the media
This cluster develops new protocols of responsible use of AI and data in the media and new sets of journalistic algorithmic ethics. It gives suggestions for regulation and new tools to tackle societal problems, such as filter bubbles, fake news, detection of deep fakes, fact checking and unlocking the long tail and media archives. Another important question for this cluster will be how to create the conditions for fair competition in the market place of ideas, and the competitiveness of the media vis-à-vis large tech platforms. The Responsible AI lab of AUAS is part of this cluster.