Advertisers want to know how you feel online through a process known as sentiment analysis, but it still has its limitations.
Crime data reflect only what crimes are identified by the police – not all the crimes that occur. So decisions based on crime data are necessarily biased and incompletely informed.
Facebook wants to stop violent videos appearing in its feeds, but we must ensure human moderators don't suffer.
Algorithms can have enormous consequences on people's lives, yet a federal law prevents us from studying whether they may be biased, unfair or discriminatory.
Data is becoming more and more important to the online advertising game. Soon, the ability to use data and algorithms will be a basic requirement in online advertising.
Artificial intelligence is surrounded by fear and mystery because very few understand its inner workings. But it's actually rather intuitive and far simpler than it seems.
Despite its promises, people analytics has serious ethical implications and can adversely affect organisations and how people are treated at work.
When governments delay releasing information about disease outbreaks, algorithms come to the rescue.
Politicians want to regulate the software that decides if we get a loan or a job, but existing laws can already protect us – if we know how to use them.
If the site is increasingly where people are getting their news, what could the company do without taking up the mantle of being a final arbiter of truth?
If people can be conned into jeopardizing our children's lives, as they do when they opt out of immunizations, could they also be conned out of democracy?
Our brains may be slower at making decisions than computers, but there is a massive evolutionary benefit to this tardiness.
Think it's a mere coincidence the first two letters of "algorithm" hint at Artificial Intelligence?
Some have suggested that deracialising the academy requires all researchers, teachers and students to link knowledge and identity. What might this mean for mathematics?
We need better surveillance systems to detect epidemics early. But while social media has been flagged as a potential solution, we're not quite there yet.
Is the rise of big data and the use of algorithms by businesses to blame for modern society's ills?
Changes in news media distribution and the impartiality of news sources provide good reason to be concerned. However, digital inequality is not the way to understand or measure it.
Making decisions about what people do and don't read is the traditional role of an editor, no matter what Facebook claims.
Business Briefing: trusting an algorithm with investment decisions.
The Conversation13.9 MB (download)
Financial advice was once the realm of bankers and brokers now startups are developing digital platforms to take advantage of how trusting we are of investment advice from computers.
Imagine a CEO that could bridge international work days, across country markets, working 24 hours a day.