A man was recently sent to prison for six years at least in part by the recommendation of a private company’s secret proprietary software.
How does bad data affect predictive policing algorithms?
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.
Australians should be able to do more than just access and transfer their own consumer data.
The Productivity Commission’s report on data availability and use is disappointing for consumers, who won't be able to stop firms collecting their data or challenge automated decisions made using it.
To manage renewable energy efficiently, all weather variation need to be taken into account.
Relying less on fossil fuels is one of the key challenges of energy transition, and taking weather variations into account can help increase the overall efficiency of a renewable-energy system.
The LinkedIn Terms of Service include elements that prevent scholars from doing research on the site’s algorithms.
Screenshot of LinkedIn.com
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.
Can an algorithm explain itself?
Robot decision via shutterstock.com
A European Union law will require human-understandable explanations for algorithms' decisions. A team of researchers has found a way to provide that, even for complex calculations.
Can you trust the news you get on social media?
How do you know your search results or social media feeds aren't being manipulated for political purposes? It's not a crime to do so. But we believe it should be.
People with a certain gene have an adverse reaction to the antiretroviral efavirenz.
Up to 50% of the people who take the efavirenz antiretroviral react particularly badly to it and need to change drug regimens.
Hands off – but do we trust the car?
AP Photo/Eric Risberg
The ethics and psychology of trust suggest ways we might learn to understand self-driving cars, but also show why doing so might be more challenging than we expect.
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.
Filter via shutterstock.com
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?
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.
Australian startups are trying to develop better algorithms to offer financial advice.
Business Briefing: trusting an algorithm with investment decisions.
The Conversation 13.9 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.
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?
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.
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.
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…