How can we make better decisions? Professor Daniel Kahneman discusses bias, noise and algorithms.
This week: part two of a special with Simon Kemp on data analytics.
This week: part one of a special with Simon Kemp on the state of digital.
This week: preserving our digital heritage, and the national identity crisis caused by consumerism.
Your future is not yet written. Here are some ideas currently being tested that aim to put people at the centre of discussions about a better AI future.
This week: why data is not like oil, dangerous AI, and a robot that gives sermons.
This week: disturbing patents, smart housing, and asking a dangerous question.
Is privacy now a luxury only the rich can afford?
In this podcast, we talk with Professor Alan Dennis about the fake news phenomenon.
Virtual museums: indestructible, shareable, the way of the future. Why not?
Scientific ideas can get lost in forests of words that lack structure and overuse complex language. Just like Sleeping Beauty, they need rescuing.
Are we heading into a future where workers will have their daily work practices dictated by an algorithm?
Personal data is sold, bought and traded among companies all the time. But what if the companies profiting from your data had to pay you a share of that earning?
People find data difficult to own – and things we don’t own, we tend not to protect.
By choosing to deal with companies with better data protection policies, Australian consumers can create pressure for change in how personal data is handled across the board.
This week: talking to books, bots and pods; echo chambers; and fish tanks and Musk’s couch in other news.
This week: a bumpy road ahead, missing out on AI glory, and long haul just got longer in other news.
Facebook and its business model are the real issue in the Cambridge Analytica saga.
Strava snafu exposes the risk of big data.
This week: building the digital Silk Road, brands in the age of Amazon, and my robot friend.
This week: re-cycling data, Watson’s health problems, and shop the look on Spotify.
There are good reasons why business has not been as successful as sports teams at implementing algorithmic decision-making.
We must equip millennials with the ability to think critically and to evaluate new situations, new information and new environments, in order to prepare them for tomorrow’s jobs.
China is more than capable of reaching its goal of global AI leadership, but it will require a change in mindset to carry out and support groundbreaking research, not just follow existing technology.
As we churn through more data, cloud computing centres are overheating. Photonic chip technology offers a way forward for our insatiable appetite for information.
Enabled by exponential technological advancements in data storage, transmission and analysis, the drive to “datify” our lives is creating an ultra-transparent world where we are never free from being under surveillance.
The time we spend trying to parse the data to make informed decisions, but also to try to identify new connections and trends is growing exponentially. We talk to Dan Buczaczer from Quid about how machine intelligence is helping us interrogate the world’s collective intelligence.
