Why would u use the card set?

The card set can help you and your team to...

• create a culture of ethical and societal awareness;
• identify challenges before they cause harm;
• improve the overall quality and acceptability of your product;
• communicate with your stakeholders on how you coped with the ethical, societal and legal impact of your product.

How does the card set look like?

The card set contains two card types:

• The AI Blindspots cards are divided into three phases, i.e. the planning phase, the development phase and the implementation phase. Each card presents one blindspot and contains:
  
  • A set of questions to help you uncover this blindspot;
    
  • A use case that illustrates the importance of considering the blindspot;
    
  • A number of tools and tricks to help you detect and mitigate the blindspot.
    
• The Ethische Dilemma cards are examples of situations in which an ethical issue arises.

As a conversation starter:

1. A conversation starter for you and your company to discuss the ethical, legal and societal aspects of AI technologies.

During a workshop:

1. A workshop with your team wherein you focus on one Ethical Dilemma card of your choosing and try to come up with one or several solutions for that particular dilemma. In a later stage, you look at the AI Blindspots cards and see if you can think of other solutions or make one of the already identified solutions more concrete with the help of the cards. > template available (see downloads)
2. A workshop with your team wherein you divide the group into three subgroups. Each one of the groups will look at a different phase of the AI Blindspots cards. You pick one Ethical Dilemma card and each group can think about how to solve the dilemma with the help of their AI Blindspots cards.
3. A workshop with your team wherein you identify one of your own Ethical Dilemmas and write it on the Ethical Dilemma joker card. Next, you can jointly think of one or several solutions with the help of the AI Blindspots cards. > template available (see downloads)
4. A workshop with your team wherein you create requirements for your innovation using a reverse brainstorm. A reverse brainstorm does not aim to solve a problem but rather to make the problem bigger. Use the AI Blindspots cards and ask yourself: “How can we ensure to make this blindspot a reality for our innovation?”. After the reversed brainstorm, reverse these unethical measures into requirements for your innovation. > template available (see downloads)

As an evaluation tool:

1. A double check for you and your team when you are designing, developing or implementing an AI system. Look at the AI Blindspots cards and see if you took into account the possible blindspots. If not, discuss how you and your team will deal with the blindspots.

The AI Blindspots cards are divided into three phases, corresponding to the three major phases in a project with and/or the development process of data applications and AI systems. These phases are the planning, development and implementation phase. The planning phase is the first phase, prior to the development of the data application or the AI system, in which the purpose, the target group, the usefulness, etc. of the technology is determined. For the planning phase, we identified the following AI Blindspots:

1. Purpose
2. Data balance
3. Data governance & privacy
4. Team composition
5. Cross boundary expertise
6. Abusability

Click on a blindspot if you want to know more about how you can identify and detect/mitigate it.

The development phase is the second phase in which you already have a clear goal and a target group in mind for your data application or AI system. But now, it comes down to the elaboration of your data application or AI system. For the development phase we identified the following AI Blindspots:

1. Discrimination by proxy
2. Explainability
3. Performance balance
4. Inclusion/ommission check
5. Dataset shift
   

Click on a blindspot if you want to know more about how you can identify and detect/mitigate it.

Finally, you have the implementation phase in which you finalize and market your data application or AI system and/or launch your project in which an AI component is present. Which AI Blindspots should you take into account in this phase? For the implementation phase we identified the following AI Blindspots:

1. Generalization error
   
2. Right to explanation/objection
3. User manual
4. Transparency
   
5. Service reconsideration
6. Accountability & sign-off
7. Revisited purpose
8. Perverse effects
   

Click on a blindspot if you want to know more about how you can identify and detect/mitigate it.