GenAI Blind Spots card set

The rapid rise of GenAI marks a new wave in artificial intelligence, promising increased efficiency, creative augmentation, and a boost in productivity across industries. With the democratisation of GenAI tools, anyone – from individuals to large enterprises – can now harness these technologies with minimal barriers to entry. However, this accessibility also raises pressing ethical concerns, as the widespread adoption of GenAI is already transforming sectors such as media, education and creative work, often sparking a moral panic about its potential consequences for employment, ecological impact, privacy, IP use, etc. With all this in mind, the Knowledge Centre Data & Society has developed the GenAI Blind Spots card set. 

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

• uncover and navigate the ethical risks unique to GenAI technologies,
• serve as the starting point to draft a strategy or guidelines on how to deal with these issues in the organisation.

The GenAI Blind Spots card set is a physical card set containing several blind spots – aspects that are often overlooked –  related to the responsible implementation and use of GenAI in an organisation. The blind spots range from oversights regarding the responsible use of GenAI to the impact of GenAI on jobs and society. 

Each card introduces a specific blind spot by way of a question, brief description and concrete example. The card also offers a number of reflective questions to help you identify the blind spot in your own GenAI project and consider the possible mitigation strategies. As such, the cards encourage users to reflect on the possible blind spots in their organisation and stimulate them to think of a strategy or action plan to deal with them. 

The GenAI Blind Spots card set is currently only available in Dutch. An English version will be released later.

The GenAI Blind Spots is a tool of the Knowledge Centre Data & Society (KDM).

For the card set, we relied on our own insights and

• insights from staff at GPT Academy and the Flemish AI Academy (VAIA),
• information from the scientific paper 'Al-kfairy, M., Mustafa, D., Kshetri, N., Insiew, M., Alfandi, O. (2024). Ethical Challenges and Solutions of Generative AI: An Interdisciplinary Perspective. Informatics 2024, 11, 58. https://doi.org/10.3390/informatics11030058',
• findings from workshops KDM facilitated around GenAI with experts and professionals.

The tool is based on the AI Blindspot by Ania Calderon, Dan Taber, Hong Qu, and Jeff Wen, developed during the Berkman Klein Center and MIT Media Lab's 2019 Assembly programme.  

This card set was created using ChatGPT 4o to improve wording and generate examples of blind spots.

The card set is available under a Creative Commons BY 4.0 licence