How can we take AI to the edge of possibility? - The World Economic Forum As humans, we have a natural tendency to overestimate the effects of technology in the short term, while being blind to their much more profound long-term impact As a result, our focus is currently narrow and we are ignoring the potential of AI to transform the models and systems on which modern-day life runs
People have got it wrong about development aid. This is what you need . . . Compounding the problem, donor-country populations often overestimate the amount of money their governments spend on aid In the US, foreign aid comprises less than 1% of the federal budget, yet a recent public opinion survey found that 73% of Americans believe aid contributes “a great deal” or “a fair amount” to the national debt
Which climate action really reduces carbon emissions? Most people overestimate the impact of less effective green actions We also underestimate the proportion of people displaced by climate and weather-related disasters If you think recycling as much as possible is the best way to cut your carbon footprint – think again
24 cognitive biases that could affect how you see the world | World . . . The human brain is wired in a way which makes objective thinking difficult This makes us prone to bias There are more than 180 cognitive biases which affect how we process information, 24 of which are explored in the infographic below
How to support human-AI collaboration in the Intelligent Age In the current skills landscape, blind spots arise when organizations overestimate AI’s capabilities during nuanced tasks, or overlook human strengths such as relying on AI in customer service without considering the need for empathy and adaptability
Gen Z is driving change in the multigenerational workforce While Gen Z remains optimistic about AI’s potential, new research shows they can sometimes overestimate their proficiency At the same time, Gen X and Millennial employees may view AI in another light entirely and require personalized training that speaks to their experience with technology
The surprising thing we can learn from the collapse of Lehman Brothers This heuristic, in turn, leads us to overestimate our ability to predict the future under what we perceive to be “similar” circumstances And, of course, one’s prognosis for the global economy depends on one’s own frame of reference
5 ways GDP gets it totally wrong as a measure of our success Kuznets was uneasy about a measure that treated all production equally He wanted to subtract, rather than add, things he considered detrimental to human wellbeing, such as arms, financial speculation and advertising