Introduction
Autonomy
Transparency
Non Maleficence
Justice
Beneficence
Takeaways
Justice

Beneficence

We support the needs and well-being of individuals and society through our digital offerings.

Our digital offerings can potentially promote the well-being of individuals and society. Our goal is to achieve positive effects in the short, medium and long term. Users should derive a clear benefit from using our data and algorithmic systems. That is why we think and act according to the following three principles:

We keep an eye on the impact of our digital offerings and design them to be sustainable.

The decisions we make today about the use of data and algorithmic systems will have an impact on future generations. We aim to design our digital offerings in such a way that they have a positive impact on people in the long term. We, for instance, ensure that our digital offerings are compatible with and can be read by future software systems. In addition, we use our algorithmic systems wisely and in a forward-looking manner.

Sustainability

We take responsibility for our data and algorithmic systems.

We require that everyone in our company who creates, operates, or makes decisions about the use of digital services develops a sense of responsibility for working with data and algorithmic systems. We believe this responsibility cannot simply be delegated to algorithmic systems or those who provide data.

Responsibility

We protect our algorithmic systems and the data entrusted to us.

We store and manage data in secure environments and protect it from unauthorized access. In addition, we implement technical protection measures at the beginning of all our projects. Our goal is to guarantee the security of all data and algorithmic systems used. In the case of algorithmic systems, we also check what data goes into the processes.

Security

Meet Phil

Phil works as a team leader in the Research and Development department. He's very experienced and has been with us for a while.

Phil recently embarked on an exciting project developing a new, cutting-edge digital health application. As part of this project, Phil has started working with a new research partner.

To run the app, data models and processes need to collect data. This will take some time, as these models and processes still need to be developed.

For their mutual benefit, Phil also wants to share his previous research and findings with his new research partner.

What would you say?

(multiple answers possible)

What implications does Phil need to consider when developing an app over multiple years?

The data is collected and stored over a long period of time.
People might not like the design anymore.
Security standards might need to improve as cyber attacks get more sophisticated.
The app may no longer be relevant once it goes live.
Submit

Please complete the quiz above to move on. Select the correct answers and then click on submit.

Despite his excitement, Phil knows that the first step in such a large-scale project is always good preparation. That's why he starts by gathering previous insights and data to ensure that the app's features will still be useful when it finally goes live.

Phil also understands that a lot of data will be collected and stored over a long period of time. As a result, adequate and scalable data storage and security are of key importance.

What's more, the data will need to be shared with the research partner.

What do you think?

What is crucial when it comes to sharing data with external collaborators? And what is just "nice to have"?

Data security

Prevention of unauthorized access

A data warehouse

Obtaining consent from data sources

A detailed list with the detailed characteristics of the data

Crucial

or

Nice to have

Please drag the cards into the correct slot to complete the quiz.

Phil raises security standards because working with an external partner involves increased risks. Not only does he review our security measures, he also checks that the research partner provides technical protection as well.

Shared research setup, shared responsibility – that Phil also knows. He doesn't simply delegate responsibility to the external partner. Instead, he is involved in the process and personally ensures compliance.

In a shared research setup, responsibility is shared. It cannot be delegated.

Phil and his research partner have done everything in their power to make the project sustainable. They've thought carefully about the long-term implications and ensured data security by taking personal responsibility. Now they are ready to collect more data and slowly start developing the app. Together, Phil and his research partner have paved the way for an effective, long-term collaboration.

Thumbs up!

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Takeaways