Go directly to contents.
Good practices for Service Developers

Using AI responsibly

  1. Start
  2. Introduction to data ethics
  3. Assess the capabilities of your organisation
  4. Organise ethical practices
  5. Get citizens involved
  6. Define a data policy
    1. Well-working AI requires high-quality data
    2. Biases have to be identified by humans
    3. The algorithm determines the quality of AI outputs
    4. Big data creates a black box
    5. Citizens have the right to the transparency of information
    6. Challenges of recommender systems in the public sector
  7. Pay attention to security
  8. Checklist

Define a data policy

Well-working AI requires high-quality data

Data work is human work that requires time and resources.

Biases have to be identified by humans

So far, there is no automatic way to prevent bias in data and subsequent adverse effects.

The algorithm determines the quality of AI outputs

Each algorithm is different and linked to the objectives of its respective system. The more complex the target, the more parameters an algorithm has.

Big data creates a black box

Can an opaque system produce ethically sustainable results?

Citizens have the right to the transparency of information

How can I explain the functioning of a system as clearly as possible?

Challenges of recommender systems in the public sector

Can data points in a public system generate recommendations that are in line with good governance?

Checklist