Ethics Archives - Algorithm

Designing trustworthy machine learning systems

Op-ed: Many methods have been developed to promote fairness, transparency and accountability in the predictions made by artificial intelligence and machine learning systems. A technical approach is often the focal point of these methodologies, however, to develop truly ethical machine learning systems that can be trusted by their users, it's important to supplement this with a human-centred approach.

Ethics

Indigenous Techno-Ethics – shaping the future through ethical tech design

Technology is often portrayed as a disruptive force, reshaping society and economies in its wake. But the ethical considerations needed to ensure these advancements are inclusive and holistic are often left for another day, ultimately leading to the creation entrenched bias within the system. So, how can we use ethically designed technology to mould a positive and inclusive future of our choosing? According...

How an algorithm could prevent the spread of misinformation and improve emergency response times

An algorithm that detects social bot activity on Twitter in real-time could prevent the spread of misinformation and make it easier for first responders to detect major events according to a Research Scientist at CSIRO’s Data61. The algorithm uses machine learning, artificial intelligence (AI) and natural language processing (NLP) to distinguish between genuine conversations and...

Data privacy is a critical business need – here’s why

If data is the new oil, then consumer privacy is the refinery that transforms the product into the safe and useable end result. As we move further into the Digital Revolution, new and innovative solutions are needed to ensure we’re protecting one of our most valuable resources. In 2017, it was revealed that Cambridge...

Trust in a Trustless World: What does data mistrust look like now and how can we overcome it?

Digital deceit and data privacy scandals plagued 2018, with everyone trying to keep up with expeditiously evolving platforms and technologies. What does data mistrust look like now and how can we overcome it? Is regulation the answer and who should take responsibility for it? Can technology be both the problem and the solution? Four experts – Prof...

Engineering identity from anonymity: Our work on risks of re-identification

As you’ve no doubt read, either through Algorithm or national news, data is everywhere. We create and consume data continuously. This data is specific to us, but when consolidated, this shared data can be of immense value. The value is not only for population level insights. An example – it has been identified that data...

AFP using AI innovation to protect investigators from abhorrent material

‘The more data the better’ is a recurring request from organisations when it comes to mining data sets to solve complex problems. However, in unique cases, being exposed to too much data can be harmful to one’s mental health when working on the data-driven front line. The Australian Federal Police are tasked with identifying abhorrent...

Over 2,000 fake Android apps discovered

The apps you regularly use to log your steps, edit your photos and monitor your finances may be hiding malicious software that could be tracking and even stealing your personal information. As part of a two-year cyber security project, researchers from CSIRO’s Data61 and the Faculty of Engineering’s School of Computer Science at the University...

Artificial intelligence in Australia needs to get ethical, so we have a plan

This article was originally published on The Conversation. The question of whether technology is good or bad depends on how it’s developed and used. Nowhere is that more topical than in technolgies using artificial intelligence. When developed and used appropriately, artificial intelligence (AI) has the potential to transform the way we live, work, communicate...

A powerful genie – The Gradient Institute on ethical AI

"We’ve so far built a genie that is powerful but naively obedient. As we grant it more power, it is critical that we also make it wiser"