WHAT ELSE DO PARENTS WHO BELIEVE LIBRARIANS SHOULD BE PROSECUTED FOR LIBRARY MATERIALS THINK?; Book Riot, October 13, 2023

Kelly Jensen , Book Riot; WHAT ELSE DO PARENTS WHO BELIEVE LIBRARIANS SHOULD BE PROSECUTED FOR LIBRARY MATERIALS THINK?

"Book Riot and EveryLibrary have teamed up to execute a series of surveys exploring parental perceptions of libraries, and our first data sets were released at the end of September. These specifically explore the ways parents perceive public libraries...

While most parents have no idea how librarians choose the books in the collection (53%), and most also believe librarians should be responsible for collection development and maintenance (58%), one of the most surprising findings was that fully one-quarter of respondents believed librarians should be prosecuted for giving children access to materials...

People who do not know how librarians select material are much more likely to also believe librarians should be prosecuted for that material. This is chilling, to say the least. It’s also an important point to emphasize for library workers. Where and how do you educate your patrons about the process behind the acquisition of books, movies, and other collection items? If this demographic who somewhat or wholly believes librarians should be prosecuted for materials is your average or above average user, there is a lot of opportunity — maybe even necessity — for education."

Study: Only 18% of data science students are learning about AI ethics; TNW, July 3, 2020

Thomas Macaulay, TNW; Study: Only 18% of data science students are learning about AI ethics

The neglect of AI ethics extends from universities to industry

"At least we can rely on universities to teach the next generation of computer scientists to make. Right? Apparently not, according to a new survey of 2,360 data science students, academics, and professionals by software firm Anaconda.

Only 15% of instructors and professors said they’re teaching AI ethics, and just 18% of students indicated they’re learning about the subject.

Notably, the worryingly low figures aren’t due to a lack of interest. Nearly half of respondents said the social impacts of bias or privacy were the “biggest problem to tackle in the AI/ML arena today.” But those concerns clearly aren’t reflected in their curricula."