Automation in Everyday Life
Although Americans expect certain positive outcomes from developments in automation, they are worried and concerned about the implications of these technologies for society as a whole.
How People Approach Facts and Information
People deal in varying ways with tensions about what information to trust and how much they want to learn. Some are interested and engaged with information; others are wary and stressed.
The Fate of Online Trust in the Next Decade
Many experts say lack of trust won’t hinder increased public reliance on the internet. Some expect trust to grow as tech and regulatory changes arise; others think it will worsen or maybe change entirely.
Online Harassment 2017
Roughly four-in-ten Americans have personally experienced online harassment, and 62% consider it a major problem.
The Internet of Things Connectivity Binge: What Are the Implications?
Despite broad concerns about cyberattacks, outages and privacy violations, most experts believe the Internet of Things will continue to expand successfully the next few years.
Tech Adoption Climbs Among Older Adults
Nearly two-thirds of those age 65 and older go online and a record share now own smartphones – although many seniors remain relatively divorced from digital life.
The Future of Jobs and Jobs Training
As robots, automation and artificial intelligence perform more tasks and there is massive disruption of jobs, experts say a wider array of education and skills-building programs will be created to meet new demands.
The Future of Free Speech, Trolls, Anonymity and Fake News Online
Many experts fear uncivil and manipulative behaviors on the internet will persist – and may get worse.
What the Public Knows About Cybersecurity
A majority of internet users can answer fewer than half the questions correctly on a difficult knowledge quiz about cybersecurity issues and concepts.
Code-Dependent: Pros and Cons of the Algorithm Age
Algorithms can save lives, make things easier and conquer chaos. But experts worry about governmental and corporate control of the data, and how algorithms can produce biased results and worsen digital divides.
