Collaborating Authors

Canberra Gives AU$32m for Autonomous Decision-Making Research


The governmenbt of Australia is subsidizing the study of responsible, ethical, and inclusive autonomous decision-making technologies. The Australian government is providing AU$31.8 million to the Australian Research Council to study responsible, ethical, and inclusive autonomous decision-making technologies. The Center of Excellence for Automated Decision-Making and Society, which will be based at the Royal Melbourne Institute of Technology (RMIT), will house researchers who will work with experts from seven other Australian universities, as well as 22 academic and industry partner organizations in Australia, Europe, Asia, and the U.S. The global research project aims to ensure machine learning and decision-making technologies can be used safely and ethically. Said RMIT researcher Julian Thomas, "Working with international partners and industry, the research will help Australians gain the full benefits of these new technologies, from better mobility, to improving our responses to humanitarian emergencies."

Inconsistent Decision-Making: What's All the Noise About?


The latest book by Daniel Kahneman, Olivier Sibony and Cass Sunstein has yet to be released, but the talk about Noise is well underway. Interviews, reviews, and essays have been making the rounds. A lot of ground has been covered. The reports go well beyond discussing the concept of noise, how it differs from bias, why this difference matter -- and how it all ties in with decision-making. Noise, defined as random errors caused by inconsistent decision-making, is said to cost organizations a lot of money. And, if accurate, the dollar amounts tossed around do sound quite alarming.

Please, Ask Your AI Two Questions for Me


"We live invested in an electric information environment that is quite as imperceptible to us as water is to fish." (Marshall McLuhan, Counterblast, 1970) In dealing with the future…it is more important to be imaginative and insightful than to be one hundred percent "right"….Even error has its uses. The maps of the world drawn by medieval cartographers were so hopelessly inaccurate, so filled with factual error, that they elicit condescending smiles today….Yet the great explorers could never have discovered the New world without them. Nor could the better, more accurate maps of today been drawn until men, working with the limited evidence available to them, set down…their bold conception of worlds they had never seen. For those who believe AI will work with humanity, having your AI system answers these two questions now will help ensure humanity is better prepared for coming AI developments. Of course, any AI algorithm used in designing an optimal collective human decision-making system must prioritize democratic processes, yet avoid the dysfunctional hierarchical decision-making processes plaguing our antiquated governing systems. To get beyond the contrived representation in these old systems, any optimal design must include, for example, the total number of people in the U.S., their overall demographics, and all the job categories and organizational and ideological schisms that currently exist.

Are You Using Your Data, or Just Collecting It?


Every business needs experts responsible for analyzing pertinent data and helping inform employee decision-making. But many leaders aren't taking full advantage of the analytical tools at their disposal and rely heavily on gut-instinct in situations where data provides a more complete picture. In situations without data or precedent, instinctive decision-making is likely the most viable option. But this strategy is unnecessarily risky in cases where the data shows the outcome of similar situations that have occurred in the past. Educating employees on the historical odds of decisions prevents them from making unnecessarily risky decisions and gives leadership a chance to carefully consult the data and weigh the consequences and costs of failure.

Role Of Artificial Intelligence In Decision Making - ONPASSIVE


Artificial Intelligence (AI) has recently become the current commercial buzzword. AI offers tremendous promise for analyzing data and extracting relevant insights that may be used to make critical strategic business choices. Businesses all around the globe are searching for methods to make use of the advantages of sophisticated technology to help them expand. Artificial Intelligence has emerged as a breakthrough technical advancement that has altered the whole commercial environment, thanks to its extraordinary capacity to aid organizations in making critical decisions. AI and its integration with various applications are assisting businesses in generating massive profits.