Many people have become resigned to the fact that tech companies collect our private data. But policymakers must do more to limit the amount of personal information corporations can collect.
Cellphones are constantly collecting location data from global satellites, but there is uncertainty about who is using these data, and for what purposes.
There are many good proposals in Dreyfus’s reform paper. But they risk being lost once again among the voices of those whose interests are served by maintaining the status quo.
ChatGPT is fuelled by our intimate online histories. It’s trained on 300 billion words, yet users have no way of knowing which of their data it contains.
Social media and publishing platform users have generated vast amounts of data. This data remains online long after people have stopped using the platforms, and can impact people’s lives.
There are concerns about how health data are used, but research shows support for uses with public benefits by health-care providers, governments, health-system planners and university-based researchers.
Questions about illegal surveillance photography and powerful facial recognition technology suggest updating the police training manual and the Policing Act itself should be a priority.
In the pursuit of efficiency, governments turn to technological solutions, like automated decision-making systems. But these systems are often problematic.
As businesses establish themselves in the metaverse, the amount of financial transactions there will increase. This will come with previously unknown risks.
Data collection is big business in the US, but a bipartisan data privacy bill rapidly moving through Congress promises to affect the information websites, social media platforms and all other businesses collect.