AI, machine learning, etc only appear to be objective. In reality, they reflect the world view and prejudices of their developers.
Algorithms have been empowered to make decisions and take actions for the sake of efficiency and speed…. the aura of objectivity and infallibility cultures tend to ascribe to them. . the shortcomings of algorithmic decisionmaking, identifies key themes around the problem of algorithmic errors and bias, and examines some approaches for combating these problems. This report highlights the added risks and complexities inherent in the use of algorithmic … decisionmaking in public policy. The report ends with a survey of approaches for combating these problems.
Source: An Intelligence in Our Image: The Risks of Bias and Errors in Artificial Intelligence | RAND
Why did it take so long to invent the wheelbarrow? Have we hit peak innovation? What our list reveals about imagination, optimism, and the nature of progress.
Source: The 50 Greatest Breakthroughs Since the Wheel – The Atlantic
A few years old, but still interesting. For example:
By expanding the pool of potentially literate people, the adoption of corrective lenses may have amounted to the largest onetime IQ boost in history.
Its economists used to champion big firms, but the mood has shifted
Source: Schumpeter: The University of Chicago worries about a lack of competition | The Economist
There is an emerging consensus among economists that competition in the economy has weakened significantly. That is bad news: it means that incumbent firms may not need to innovate as much, and that inequality may increase if companies can hoard profits and spend less on investment and wages.
Yes, I certainly see this in tech fields.The double consequences are scary.
Thanks to colleague Prof. Liz Lyons for suggesting this.
Selling “light,” not light bulbs, is one way that companies providing long-lasting bulbs hope to stay in business, even after “socket saturation” sets in.
Source: Trying to Solve the L.E.D. Quandary – The New Yorker
Growing crops in the city, without soil or natural light.
Source: The Vertical Farm – The New Yorker
Device costs less than $5 and can accurately measure the number and speed of swimmers. Source: With racy sperm pics on a smartphone, men can easily test fertility | Ars Technica If only Theranos could do as well!
This is just a research project. But it’s still impressive. Smartphones have elaborate sensors, computation, networking, and even databases. Adding a custom sensor modifier will bring lots of inexpensive tests, medical and otherwise.
This is how home IoT ought to work. But overall, this service is going to figure in a lot of divorce lawsuits! Excerpts from the article: Continue reading