In the last decade, we’ve seen amazing advances in technology that have made it easier for companies to create efficiencies, provide client services, and reach the ideal audience for their messages.

Public sector organisations should take an iterative approach to data ethics that encompasses every stage of a project, from initial data collection all the way through to live implementation and ...

Data and its uses pervade the digital economy. From online data mining to AI/ML-enhanced analytics, the range of data sources and tools available on the web are boundless. For every digital user ...

There is no better real-world example of significant data ethics complexities than Facebook. The data privacy scandal that has emerged over the past few years is a unique educational tool for any ...

Forbes contributors publish independent expert analyses and insights. Charles writes about organisational changes required to scale & AI. ‘Data citizens are waking up,’ says Stijn Christiaens, the ...

When thinking about data privacy and security, the focus is typically on how to keep the bad guys from gaining unauthorized access to our data. We spend billions of dollars every year as an industry ...

“Rogue actors and even governments have taken advantage of user trust to deepen divisions, incite violence, and even undermine our shared sense of what is true and what is false. This crisis is real.

The AI research community has tried to scrub away its past. But the internet is forever. In 2016, hoping to spur advancements in facial recognition, Microsoft released the largest face database in the ...

"You're OK with doing business with evil people, right?" One of Australia's leading venture capital advisers had asked me that question back when the first dotcom bubble was about to burst, in the ...

2018 survey by Deloitte of 1,400 U.S. executives knowledgeable about artificial intelligence (AI) found that 32% ranked ethical issues as one of the top three risks of AI. That’s a surprisingly high ...