If you work in the world of digital tech, Artificial Intelligence (AI) has been on your mind for quite a while. And even if you don’t work in the digital tech world, we know you have been hearing a lot about AI recently.

Still, in the last two years, policy initiatives, political attention, investments, and products and services across sectors, from health to agriculture, have been booming with both excitement and fear around AI developments. While more nuance to this discussion would be beneficial, all the attention leads to much-needed policy and technical work in AI.

Csv,conf – the best community conference for data makers was back for its version 8 at the end of May in Puebla, Mexico. I am very lucky to be one of the conference co-organisers since its version 7, but this year I was also a speaker, giving a talk about Open Data Editor (ODE), the application we are developing at Open Knowledge Foundation.

“I thought I knew a lot about sexual education and that I was immune to ignorance,” said Sarah Mahmoud. “I didn’t realize how much false and misleading information I had taken in. It really affected my marriage.” 

Sarah, a young Egyptian woman, explained to SMEX the consequences of social media’s misleading information about sexual practices.

In this scientific article on iusNet, Nadja Braun Binder, Liliane Obrecht and Grace Wittmer analyse the use of chatbots in public administrations and the protection of legitimate expectations if they provide incorrect information. The full text of the article is available here (German only). 

In this scientific article on iusNet, Nadja Braun Binder, Liliane Obrecht and Grace Wittmer analyse the use of chatbots in public administrations and the protection of legitimate expectations if they provide incorrect information. The full text of the article is available here (German only).