Apr
2022
emotional intelligence 12 elements
Emotional Intelligence Has 12 Elements. Which Do You Need to Work On?
https://hbr.org/2017/02/emotional-intelligence-has-12-elements-which-do-you-need-to-work-on
Digital Literacy for St. Cloud State University
https://hbr.org/2017/02/emotional-intelligence-has-12-elements-which-do-you-need-to-work-on
https://www.linkedin.com/pulse/understanding-4-types-artificial-intelligence-ai-bernard-marr/
Examples of reactive AI include:
For example, autonomous vehicles use limited memory AI to observe other cars’ speed and direction, helping them “read the road” and adjust as needed. This process for understanding and interpreting incoming data makes them safer on the roads.
The Kismet robot head, developed by Professor Cynthia Breazeal, could recognize emotional signals on human faces and replicate those emotions on its own face. Humanoid robot Sophia, developed by Hanson Robotics in Hong Kong, can recognize faces and respond to interactions with her own facial expressions.
The most advanced type of artificial intelligence is self-aware AI. When machines can be aware of their own emotions, as well as the emotions of others around them, they will have a level of consciousness and intelligence similar to human beings. This type of AI will have desires, needs, and emotions as well.
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence
If we can’t teach machines to internalise human values and make decisions based on them, we must accept – and ensure – that AI is of limited use to us.
https://www.newstatesman.com/science-tech/2021/02/how-prevent-ai-taking-over-world
The so-called “Value Alignment Problem” – how to get AI to respect and conform to human values – is arguably the most important, if vexing, problem faced by AI developers today.
Stuart Russell, a leading AI scientist at Berkeley, offers an intriguing solution. Let’s design AI so that its goals are unclear. We then allow it to fill in the gaps by observing human behaviour. By learning its values from humans, the AI’s goals will be our goals.
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence
Jules Polonetsky and Omer Tene January 16, 2019
https://www.ourworld.co/law-is-code-making-policy-for-artificial-intelligence/
Twenty years have passed since renowned Harvard Professor Larry Lessig coined the phrase “Code is Law”, suggesting that in the digital age, computer code regulates behavior much like legislative code traditionally did. These days, the computer code that powers artificial intelligence (AI) is a salient example of Lessig’s statement.
Yet even with code as law and a rising need for law in code, policymakers do not need to become mathematicians, engineers and coders. Instead, institutions must develop and enhance their technical toolbox by hiring experts and consulting with top academics, industry researchers and civil society voices. Responsible AI requires access to not only lawyers, ethicists and philosophers but also to technical leaders and subject matter experts to ensure an appropriate balance between economic and scientific benefits to society on the one hand and individual rights and freedoms on the other hand.
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artificial+intelligence
September 5, 2018 Siddharth (Sid) Pai
https://www.linkedin.com/pulse/limbic-thought-artificial-intelligence-siddharth-sid-pai/
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more on AI in this IMS blog
https://blog.stcloudstate.edu/ims?s=artifical+intelligence
Wonder what emotional intelligence looks like in everyday life? Here are 13 examples.
https://www.inc.com/justin-bariso/13-things-emotionally-intelligent-people-do.html
In 1995, psychologist and science journalist Daniel Goleman published a book introducing most of the world to the nascent concept of emotional intelligence. The idea–that an ability to understand and manage emotions greatly increases our chances of success–quickly took off, and it went on to greatly influence the way people think about emotions and human behavior.
But what does emotional intelligence look like, as manifested in everyday life?
pausing helps you refrain from making a permanent decision based on a temporary emotion.
By striving to control your thoughts, you resist becoming a slave to your emotions, allowing yourself to live in a way that’s in harmony with your goals and values.
When you receive negative feedback, you keep your emotions in check and ask yourself: How can this make me better?
You know not everyone will appreciate your sharing your thoughts and feelings. But the ones who matter will.
The ability to show empathy, which includes understanding others’ thoughts and feelings, helps you connect with others. Instead of judging or labeling others, you work hard to see things through their eyes.
Empathy doesn’t necessarily mean agreeing with another person’s point of view. Rather, it’s about striving to understand–which allows you to build deeper, more connected relationships.
by sharing specifically what you appreciate, you inspire them to be the best version of themselves.
Negative feedback has great potential to hurt the feelings of others. Realizing this, you reframe criticism as constructive feedback, so the recipient sees it as helpful instead of harmful.
Emotional intelligence helps you realize that apologizing doesn’t always mean you’re wrong. It does mean valuing your relationship more than your ego.
When you forgive and forget, you prevent others from holding your emotions hostage–allowing you to move forward.
Actions like these build trust and inspire others to follow your lead when it counts.
You realize that emotional intelligence also has a dark side–such as when individuals attempt to manipulate others’ emotions to promote a personal agenda or for some other selfish cause.
And that’s why you continue to sharpen your own emotional intelligence–to protect yourself when they do.
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more on emotional intelligence in this IMS blog
https://blog.stcloudstate.edu/ims?s=emotional+intelligence
Intelligence has always been used as fig-leaf to justify domination and destruction. No wonder we fear super-smart robots
https://aeon.co/essays/on-the-dark-history-of-intelligence-as-domination
To say that someone is or is not intelligent has never been merely a comment on their mental faculties. It is always also a judgment on what they are permitted to do. Intelligence, in other words, is political.
The problem has taken an interesting 21st-century twist with the rise of Artificial Intelligence (AI).
The term ‘intelligence’ itself has never been popular with English-language philosophers. Nor does it have a direct translation into German or ancient Greek, two of the other great languages in the Western philosophical tradition. But that doesn’t mean philosophers weren’t interested in it. Indeed, they were obsessed with it, or more precisely a part of it: reason or rationality. The term ‘intelligence’ managed to eclipse its more old-fashioned relative in popular and political discourse only with the rise of the relatively new-fangled discipline of psychology, which claimed intelligence for itself.
Plato conclude, in The Republic, that the ideal ruler is ‘the philosopher king’, as only a philosopher can work out the proper order of things. This idea was revolutionary at the time. Athens had already experimented with democracy, the rule of the people – but to count as one of those ‘people’ you just had to be a male citizen, not necessarily intelligent. Elsewhere, the governing classes were made up of inherited elites (aristocracy), or by those who believed they had received divine instruction (theocracy), or simply by the strongest (tyranny).
Plato’s novel idea fell on the eager ears of the intellectuals, including those of his pupil Aristotle. Aristotle was always the more practical, taxonomic kind of thinker. He took the notion of the primacy of reason and used it to establish what he believed was a natural social hierarchy.
So at the dawn of Western philosophy, we have intelligence identified with the European, educated, male human. It becomes an argument for his right to dominate women, the lower classes, uncivilised peoples and non-human animals. While Plato argued for the supremacy of reason and placed it within a rather ungainly utopia, only one generation later, Aristotle presents the rule of the thinking man as obvious and natural.
The late Australian philosopher and conservationist Val Plumwood has argued that the giants of Greek philosophy set up a series of linked dualisms that continue to inform our thought. Opposing categories such as intelligent/stupid, rational/emotional and mind/body are linked, implicitly or explicitly, to others such as male/female, civilised/primitive, and human/animal. These dualisms aren’t value-neutral, but fall within a broader dualism, as Aristotle makes clear: that of dominant/subordinate or master/slave. Together, they make relationships of domination, such as patriarchy or slavery, appear to be part of the natural order of things.
Descartes rendered nature literally mindless, and so devoid of intrinsic value – which thereby legitimated the guilt-free oppression of other species.
For Kant, only reasoning creatures had moral standing. Rational beings were to be called ‘persons’ and were ‘ends in themselves’. Beings that were not rational, on the other hand, had ‘only a relative value as means, and are therefore called things’. We could do with them what we liked.
This line of thinking was extended to become a core part of the logic of colonialism. The argument ran like this: non-white peoples were less intelligent; they were therefore unqualified to rule over themselves and their lands. It was therefore perfectly legitimate – even a duty, ‘the white man’s burden’ – to destroy their cultures and take their territory.
The same logic was applied to women, who were considered too flighty and sentimental to enjoy the privileges afforded to the ‘rational man’.
Galton believe that intellectual ability was hereditary and could be enhanced through selective breeding. He decided to find a way to scientifically identify the most able members of society and encourage them to breed – prolifically, and with each other. The less intellectually capable should be discouraged from reproducing, or indeed prevented, for the sake of the species. Thus eugenics and the intelligence test were born together.
From David Hume to Friedrich Nietzsche, and Sigmund Freud through to postmodernism, there are plenty of philosophical traditions that challenge the notion that we’re as intelligent as we’d like to believe, and that intelligence is the highest virtue.
From 2001: A Space Odyssey to the Terminator films, writers have fantasised about machines rising up against us. Now we can see why. If we’re used to believing that the top spots in society should go to the brainiest, then of course we should expect to be made redundant by bigger-brained robots and sent to the bottom of the heap.
Natural stupidity, rather than artificial intelligence, remains the greatest risk.
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more on intelligence in this IMS blog
https://blog.stcloudstate.edu/ims?s=intelligence
http://ww2.kqed.org/mindshift/2016/04/11/rethinking-intelligence-how-does-imagination-measure-up
Dr. Scott Barry Kaufman When he was young, Kaufman had central auditory processing disorder, which made it hard for him to process verbal information in real time. He was asked to repeat third grade because he was considered a “slow” learner.
Kaufman thinks the traditional IQ test does a good job of measuring general cognitive ability, but says it misses all the ways that ability interacts with engagement. An individual’s goals within the learning classroom and excitement about a topic affect how he or she pursues learning, none of which is captured on IQ tests. Worse, those tests are often used to filter people in or out of special programs.
FOUR PRACTICES TO CULTIVATE CHILDREN’S CREATIVITY
it’s even worth measuring imagination, but Kaufman believes that measurement is important so researchers can see how changing behavior affects creative achievement. But he hopes the measurements are never used as another sorting mechanism.
My note: Kaufman makes a new call for an old trend. The futility of testing is raging across the United States K12 system. Higher education is turned into the last several decades (similarly to the United States health care system) into a cash cow. When the goal is profit, then good education goes down the drain. Cultivating children’s creativity cannot happen, when the foremost goals to make more money, which inevitably entails spending less cash (not only on teacher’s salaries).