30 readings with original sources
AI and technology
Saying a technology works leaves many questions open: for which task, using which version, compared with what, and under what conditions? These readings return to the studies behind those claims.
What to look for in these studies
An experiment with a model, application or device describes that evaluation at that time. It does not show that every later system behaves the same way. Pay attention to the tasks, participants, measures and possible costs left outside the test.
- Which system or version was evaluated?
- Which task and comparison were used?
- What outcome was measured, and what was outside the evaluation?
Explore the research
- Social media and gaming, not total screen time, went along with preferring the immediate option
- Models that store summaries reproduced several human memory errors
- Experts and machines recognized faces similarly but made different errors
- A small joystick on the screen distinguished five textures
- Warned in time, people manually checked more when the drone failed
- Faces instead of distorted letters: people were correct about 94% of the time
- A 3D-printed orthosis with materials costing $15 to $20
- A phone distinguished glows that faded at different rates
- When they heard a real recording alongside it, people were better at spotting the fake voice
- A €700 camera powered by a solar panel recorded visiting insects
- After reading on a bright screen, participants reported more visual fatigue
- Stories with AI ideas: higher ratings, but more alike
- A more human-sounding voice went along with greater stated willingness to use the assistant
- Resistance to an assistant was linked to risk more than to intrusiveness
- After helping a robot, people responded faster near its robotic hand
- Only a minority rejected risky permissions on their phones
- While searching for assistive-technology funding, ten people got stuck
- Broadband: more internet access and use, with no clear improvement in skills
- Labeling an image as AI-made did little to change willingness to share it
- Being able to adjust the algorithm made it more popular, but slightly less accurate
- Some content changed, but opinions showed no consistent change
- A visible, alarming notice: six in ten rejected cookies
- Fewer employees opened the fake link after information or practice
- Fewer megabits, similar internet use, and more frustration
- The more useful an app seemed, the more people wanted to install it
- Older adults tried home sensors: few chose a camera
- Transparency and control shaped trust in home sensors
- Mouse, touchpad, or touchscreen: none won every Word task
- Password managers: convenient for users, concerning for nonusers
- Feeling in control of data and trust were linked through understanding