AI

“I’m sorry, Dave. I’m afraid I can’t do that.” HAL’s cold, if polite, refusal to open the pod bay doors in 2001 A Space Odyssey has become a defining warning about putting too much trust in artificial intelligence, particularly if you work in space. In the movies, when a machine

AI in the workplace is still frequently “ineffective, simplistic and opaque” according to analysis of hundreds of research reports across the last year. A report by Oxford University’s Internet Institute, titled AI @ Work [pdf] delves into the underlying causes, including a lack of transparency and the fact many AI

Artificial Intelligence used in workplaces is frequently “ineffective, simplistic and opaque”, often making human workers’ jobs harder and relying on cheap human labour from the Global South to “automate” processes, according to a new study by British academics.  A study by the Oxford Internet Institute, AI @ Work [pdf], analysed

Bias is one of the stereotypical dangers of AI. Those who refer to bias are often biased against… AI bias. We have seen enterprises spending unnecessary resources to eradicate AI bias because they presume without due diligence that bias is always bad. Meanwhile, bias is a natural effect of learning.

Students and professionals can train in practical data science and artificial intelligence skills in as little as three months under a new partnership between RMIT University and the Institute of Data, a career services provider that boasts a 90 per cent job success rate. From mid-September a new short-form industry

From empty supermarket shelves to delays manufacturing electronics and cars, the COVID-19 crisis has provided a stark example of global supply chain disruption.  In the early months of the crisis, 94 per cent of Fortune 1000 companies suffered supply chain disruptions. Underestimating the risk of supply chain shocks led to

Australian artificial intelligence (AI) and machine learning (ML) business, Max Kelsen announced it has doubled its workforce in the past three months to meet demand for AI and ML solutions across a wide range of industries, including its collaboration with University of Queensland based research into the COVID-19 virus. Based

In an increasingly competitive marketplace, and in recent months, in particular, digital channels and capabilities have been critical to success. Organisations need to engage all three areas of the corporate brain: customer intelligence, human intelligence and artificial intelligence. Marketers need customer intelligence not only to meet the needs of customers

Disruptive technologies like AI, automation, and blockchain present challenges for risk managers with two-thirds (69 per cent) of Australian executives say that complex risks are emerging more rapidly than their own skills are advancing, according to a new report from Accenture. The study reveals that  majority of financial firms’ risk

With a premium now on speed to develop vaccines and diagnostics for the coronavirus, there is a renewed emphasis on the role of AI and how governments can ensure it is used in a trusted manner, according to the World Economic Forum. And this is happening in the context of