Sentences with phrase «way human biases»

Financial markets are a prime example of the way human biases can manifest at either end of a spectrum of emotions: this is the core of behavioral finance, where the study of economics and psychology intersect.

Not exact matches

The convergence model represents human communication as a dynamic, cyclical process over time, characterized by (1) mutual causation rather than one - way mechanistic causation, and emphasizing (2) the interdependent relationship of the participants, rather than a bias toward either the gisource» or the «receiver» of «messages.»

When one views the world with no definite theological bias one way or the other, one sees that order and disorder, as we now recognize them, are purely human inventions.

For now, I will just highlight the fact that human pollsters are weird, biased and entertaining, in the most human way possible.

AP poll voters are biased and weird, in an endearing and ultimately human way.

But you seem to be missing a very important point: nobody will have the knowledge and experience and not develop a bias one way or the other, it's just plain human nature.

One of the reasons biases are so rampant is rooted in the human need for «cognitive consistency,» which means processing information in a way that confirms preset beliefs, explains Ann - Sophie Chaxel, a professor at Virginia Tech and author of the study.

We need to look for new ways of studying optimism bias to establish whether it is a universal feature of human cognition or not.

«Scientists are human too, and I think we often fall prey to this very human but biased way of thinking,» Ledgerwood notes.

Late 1960s In a series of experiments, psychologists Daniel Kahneman and Amos Tversky demonstrate the downside of the way humans make decisions, identifying several unconscious, systemic biases that consistently distort human judgment.

Scientists say this bias may be what enables humans to work together in large numbers — even with complete strangers — in ways that other species do not.

So although human decision - making might introduce a degree of bias, it would be a random error and shouldn't skew results one way or the other.

Dr. G is human and fallible and biased in his own ways, but I trust him 10,000 x more than any corporate entity or governing body.

In a nutshell, in the years to come, we have to move away from, dare I say, «Dropbox» - style Learning Management Systems that have a bias towards the purportedly - pedagogically - sound text - based (social)- constructivist activities, to much smarter, universally accessible Learning Management Systems; ones that can learn, think, adapt, and take action in a way that allows for personalisation of learning, and in a way that reinforces (live) human - to - human interaction.

Smart Beta ETFs are a great way to gain relatively low - cost exposure to a more sophisticated and nuanced investment style that is time tested and free from human bias.

If you believe in active there a way to outperform why not use smart beta etfs where you eliminate human bias and emotion, why wouldnt you use smart beta?

In my 40 years as a scientist, I have certainly seen some of my colleagues, acting in their role as normal human beings, occasionally get carried away in their enthusiasm and let nons - cientific biases affect the way they represent their scientific judgment to the public.

* The role of the US in global efforts to address pollutants that are broadly dispersed across national borders, such as greenhouse gasses, persistent organic pollutants, ozone, etc...; * How they view a president's ability to influence national science policy in a way that will persist beyond their term (s), as would be necessary for example to address global climate change or enhancement of science education nationwide; * Their perspective on the relative roles that scientific knowledge, ethics, economics, and faith should play in resolving debates over embryonic stem cell research, evolution education, human population growth, etc... * What specific steps they would take to prevent the introduction of political or economic bias in the dissemination and use of scientific knowledge; * (and many more...)

Or more in keeping with human tendencies, in the way their biases might pre-dispose them to believe true.

Pollsters can get alarmist - sounding results from their surveys can bias their results by phrasing the question this vague way (in terms of «human activity»).

Thus, by way of the institutionalized journalistic norm of balanced reporting, United States television news coverage has perpetrated an informational bias by significantly diverging from the consensus view in climate science that humans contribute to climate change.

It would be even better if the software was intelligent and was able to study all the data and learn about how the climate works without biased humans getting in the way.

But in this world, with humans full of cognitive biases, green should probably take the time to make sure that what they are saying isn't being obscured by the way it is said.

When the human lawyer engages with a dynamic, artificially intelligent, less - biased system that establishes legal connections — including some that a human may not yet have found — then the lawyer engaging with it will have stronger options in coming up with legal answers, and will understand -LRB-» learn») that legal area in a deeper way.

Judges are human, and a lot of them will be biased in some way without being so biased that someone else needs to hear the case.

AI allows for analysis of big data in ways that humans can not, but to address bias creep in these models requires scrutiny.