(K)insights

In order to involve our academic and business networks to create an even better understanding around digital innovation and transformation the content is published in our blogs/news section. 
These services help organizations to continuously further develop the knowledge of their employees with the latest academic insights, to look beyond the hypes, to recruit digital talents and to learn from other companies facing similar challenges in the digital landscape.

Our mission

We have:

  • KINTalks
  • News and Blogs
  • Events


KINTalks

The concept is simple. KINTalks is an event where inspiring practitioners are invited to talk about their work experience in the field of innovation, digital technology, business and/or design. Key here is sharing knowledge and firing up the debate.

It seems that there are (too) little moments where academics and practitioners meet. KINTalks helps: 

1) to encourage a conversation around shared interests; 

2) to learn from each other and 

3) to network and nurture lasting relationships. Overall, it is an opportunity to get inspired and energized.

Each KINTalks event includes one or two speakers and an audience of researchers and other interested people. Each speaker presents for (about) 30-45 min. After the talk, the audience has the opportunity to pose questions. The presentations promise to be creative and thought-provoking, sparking a conversation that we continue afterward with drinks.

The talks will take place at VU University Amsterdam (Main building, De Boelelaan 1105, 5th floor). Please note that participation in KIN Talks is free of charge, but registration for KIN Talks is required.

If you have further inquiries, please do not hesitate to contact us (kintalks.sbe@vu.nl).

We look forward to welcoming you to our KINTalks!

The KIN Talks are organised by (from left to right): Lauren, Dennis, Jovana, and Julia.

Upcoming KINTalk:

11 December 2020: How can we assure safe, effective and ethical AI in medical imaging? Join us for our upcoming KINTalk! Register for free on the link below:
https://www.eventbrite.co.uk/e/kintalks-assuring-safe-effective-and-ethical-ai-in-medical-imaging-tickets-128733109195

KINTalk AI

News & Blogs

KIN regularly has news concerning events and blogs focusing on the research that is conducted in the department.

Read or blog here

Book Launch: Managing Artificial Intelligence Wisely

November 24, 2020, marked the Digital Symposium, “AI in Practice” and launch of the new AI management book authored by KIN Center for Digital Innovation’s Lauren Waardenburg, Marleen Huysman, and Marlous Agterberg and published by Stichting Management Studies. Titled, S.L.I.M. managen van AI in de praktijk (Managing Artificial Intelligence Wisely), the book is unique in its focus on operational and implementation processes within real organizations. The book illustrates how AI is transforming work, and highlights key implications and recommendations for managers considering embarking on or already implementing AI.

The symposium was hosted by Han Gerrits (Capgemini). It featured a keynote by co-author Marleen Huysman (KIN) followed by a reflection by Michel van Leeuwen (Ministry of Justice and Security). The session ended with a panel discussion with some of the managers interviewed for the book: Ruut Durmadaneker (KLM), Daniël Meel (ABN AMRO), Annemiek Bakker (Centraal Beheer) and Xenia Kuiper (Philadelphia), as well as science journalist, Bennie Mols.

In her keynote, Marleen explained that AI is differentiated from previous automation efforts because it requires large quantities of data, it is self-learning (thus black boxed), and its focus is knowledge work. Marleen shared the four key challenges for implementing AI in practice which were also reflected upon by the panelists:

1. Organizing around data becomes a challenge because so data are the central building blocks of AI systems, and requires human coordination to organize for the data. Thus, not only the ability to collect data, but also to process and restructure the organization around data becomes key.

AI is more like LEGO than Playmobil…but we can no longer say that IT technologies are neutral and without bias. Especially not when it comes to AI, you can’t just leave it to your IT department. You need to engage as a whole organization - Michel van Leeuwen, Director of AI at the Ministry of Justice and Security

2. Testing and validating concerns the question of when a system is good enough to hand tasks over to. To create AI systems that “work”, not only technically but also socially, within organizations, requires continuous effort and is necessarily combined with broad and deep knowledge of use contexts and technology.

We can only learn by putting the robots in practice and let them get their flight hours…but it’s important to take it easy…to improve and change the work processes and adoption at a human tempo, to go slower rather than faster. It’s a long long term commitment  – Xenia Kuiper, Program manager at Philadelphia

 

3. Algorithmic brokering becomes a necessary and emergent role to translate and bridge AI outcomes to users.

People need to know what AI can or can’t do – Bennie Mols, science journalist

Our robot team works as the broker between the patients and the system developers  Xenia Kuiper, Program manager at Philadelphia

4. Changes to work processes result from the implementation of AI systems and organizations will need to be able to learn and adapt step by step.

We eventually moved from an external supplier and placed our entire architecture and management internally to keep the expertise within the organization – Annemiek Bakker, Product Manager at Centraal Beheer

These themes are further explained within the book with one chapter dedicated to each challenge. Finally, Marleen closed her talk by introducing the W.I.S.E. framework for managers. Wisely implementing AI in organizations requires including Work-related insights, Interdisciplinary knowledge, a Socio-technical change process, and Ethical awareness (W.I.S.E.). Using the W.I.S.E. framework, managers can ask the right questions to understand the risks and trade-offs toward implementing AI wisely in their organizations.

The session ended with a lively panel discussion that touched on topics discussed in the book, such as the benefits of developing AI systems in-house or the cross-functional value that AI solutions can provide across organizations past the initial investment that can be significant. The book features these cases from KLM, Centraal Beheer, ABN AMRO, and Philadelphia in depth, as well as providing additional cases around predictive tumor modeling, predictive policing, predictive HR analytics, and a smart powerplant. Buy your copy of the book now (in Dutch).

Want to find out more?

Author: Shauna Jin

KIN Innovation researchers receive 4 million grant with an International Consortium developing biomarkers for Alzheimer’s

blog information

Philipp Tuertscher, Associate Professor of Technology and Innovation at the KIN Center for Digital Innovation, teamed up with researchers from leading biomarker labs and life science companies to study new read more...

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