Is the rise of big data and the use of algorithms by businesses to blame for modern society's ills?
News delivery via social media is based on a business model that exploits our need for self-validation.
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.
Can machine learning help us find – and reduce – gender bias?
Doctor/nurse via shutterstock.com
Algorithms that learn from large data sets can pick up inherent social biases. That could perpetuate the biases, or even worsen them.
Making decisions about what people do and don't read is the traditional role of an editor, no matter what Facebook claims.
Australian startups are trying to develop better algorithms to offer financial advice.
Business Briefing: trusting an algorithm with investment decisions.
The Conversation 13,9 Mo (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.
How fast can it get here?
Box delivery image via Hadrian / Shutterstock.com
Algorithms can discriminate, even when their designers don't intend that to happen. But they also can make detecting bias easier.
Predicting whether a child will commit a crime before their 18th birthday is fraught with problems.
Machine learning is being used to see if it's possible to predict whether someone will commit a crime some time in the future. But does this risk condemning people for a crime they haven’t committed?
Could blockchain bring the traditional CEO unstuck?
Image sourced from shutterstock.com
Imagine a CEO that could bridge international work days, across country markets, working 24 hours a day.
A frequent call market may help prevent ‘flash crashes,’ like this one on May 6, 2010.
New research shines light on whether creating such a haven as a new type of exchange that slows trading down a bit could attract enough traders to be effective.
How do government agencies make decisions?
Flowchart diagram via shutterstock.com
Data-driven algorithms drive decision-making in ways that touch our economic, social and civic lives. But they contain inherent biases and assumptions that are too often invisible to the public.
Video streaming services such as iPlayer need ‘green’ software, too.
Software is eating everything in this online, digital world. We need to design code that uses as little energy as possible.
If we’re super-wired in the future, will we also be super-vulnerable?
Imagining possible futures can help us plan a secure information technology environment for the years to come.
The ‘Lose Yourself in Melbourne’ ad was onto something: instead of being directed to the fastest or shortest route, some people might want to take a diverting detour.
'It's Easy to Lose Yourself in Melbourne', Tourism Victoria
If smart cities run on big data and algorithms that channel only 'relevant' information and opinions to us, how do we maintain the diversity of ideas and possibilities that drives truly smart cities?
Algorithms have the potential to change every business.
The disruption happening thanks to algorithms is happening all around us.
We know what we look like, but how do algorithms see us?
We increasingly depend on algorithms applied to big data, but even algorithms make mistakes that could label us in worrying ways
It’s all just data – how can it be prejudiced?
Math isn’t prejudiced, goes the argument. But these arithmetic programs can learn bias from the data fed into them by human beings, leading to unfair treatment and discrimination.
Picasso’s The Young Ladies of Avignon (1907) scored extremely high when entered into the creativity algorithm.
Humans are no longer the only judges of creativity. Computers can perform the same task – and may even be more objective.
Strictly for the birds?
Computer scientists used to calculate how to make the modern world better by drawing analogies with nature. But now the backlash has begun.
Facebook can remember it for you wholesale - whether you like it or not.
Facebook’s recent apology for its Year in Review feature, which had displayed to a grieving father images of his dead daughter, highlights again the tricky relationship between the social media behemoth…
What would an algorithm do?
The world is certainly not short of pundits claiming to have a grasp on where the economy is heading or what the future holds for Ukraine. But history reminds us how poor humans are at making predictions…