The automotive industry has revolutionized manufacturing twice. The first time was in 1913 when Henry Ford introduced a moving assembly line at his Highland Park...
IntroductionTrustworthy vs Responsible AITrustworthy AIAttributes of trustworthy AI1.     Transparent, interpretable and explainable2.     Accountable3.     Reliable, resilient, safe and secure4.     Fair and non-discriminatory5.     Committed to privacy...
It’s almost impossible to turn around nowadays without finding another article predicting the impact that AI and other emerging technologies – the so-called Fourth...
In 2013, George F. Young and colleagues completed a fascinating study into the science behind starling murmurations. These breathtaking displays of thousands – sometimes...
Because it demands so much manpower, cybersecurity has already benefited from AI and automation to improve threat prevention, detection and response. Preventing spam and identifying malware are already common examples. However, AI is also being used – and will be used more and more – by cybercriminals to circumvent cyberdefenses and bypass security algorithms. AI-driven cyberattacks have the potential to be faster, wider spread and less costly to implement. They can be scaled up in ways that have not been possible in even the most well-coordinated hacking campaigns. These attacks evolve in real time, achieving high impact rates.
Cybersecurity strategies need to change in order to address the new issues that Machine Learning (ML) and Artificial Intelligence (AI) bring into the equation. Although those issues have not yet reached crisis stage, signs are clear that they will need to be addressed – and soon – if cyberattackers are to be prevented from obtaining a decided advantage in the continuing arms race between hackers and those who keep organizations’ systems secure.
If you've ever been to an expensive restaurant and ordered a familiar dish like, say, lasagna, but received a plate with five different elements...
Canada has been investing in machine learning and artificial intelligence (AI) for longer than most of the industrialized world. Dr. Geoff Hinton of Google...
In my previous post I argued that if Canada wants to succeed with its AI-focused innovation agenda, it should also be at the forefront...
In their outstanding book, Wicked and Wise, Alan Watkins and Ken Wilber look at some of the most pressing ‘wicked problems’ facing the human...
To remain competitive, organizations will increasingly have to innovate. As the speed of innovation increases, disrupting whole sectors, competitive intelligence, market intelligence even a...
AI leaders must adapt to the changing culture as young workers enter the job market with expectations strikingly different from the ones that leaders...
Technologies that could change the world have been a popular topic for the past half century. True, the predictions that everyone would drive flying...
Growing reliance on AI will not likely result in any of the three most common views of how AI will affect our future. Each...
Canada’s rankings in innovation has lagged that of other peer nations for decades despite government efforts to address this issue. Considering its success in...