dull activities can spark creative thinking

What if boredom is a meaningful experience—one that propels us to states of deeper thoughtfulness and creativity? That’s the conclusion of two fascinating recent studies. Boredom might spark creativity because a restless mind hungers for stimulation. Maybe traversing an expanse of tedium creates a sort of cognitive forward motion. A bored mind moves into a “daydreaming” state, says Sandi Mann, a psychologist at the University of Central Lancashire.

The problem, the psychologists worry, is that these days we don’t wrestle with these slow moments. We eliminate them (with mobile devices). This might relieve us temporarily, but it shuts down the deeper thinking that can come from staring down the doldrums. Noolding on your phone is “like eating junk food,” she says.

So here’s an idea: Instead of always fleeing boredom, lean into it. Sometimes, anyway. When novelists talk about using Freedom, the software that shuts down one’s Internet connection, they often say it’s about avoiding distraction. But I suspect it’s also about enforcing a level of boredom in their day—useful, productive monotony.

And there is, of course, bad boredom. The good type motivates you to see what can come of it: “fructifying boredom,” as the philosopher Bertrand Russell called it. The bad type, in contrast, tires you, makes you feel like you can’t be bothered to do anything. (It has a name too: lethargic boredom.)

A critical part of our modern task, then, is learning to assess these different flavors of ennui—to distinguish the useful kind from the stultifying. (Glancing at your phone in an idle moment isn’t always, or even often a bad thing.) Boredom, it turns out, may be super-interesting.

Clive Thompson writing in Wired Magazine

Worry Deadlines

Parkinson’s Law, which states that work expands to the time we allow it. Put simply, if you give yourself one month to create a presentation, it will take you one full month to finish it. But if you only had a week, you’d finish the same presentation in a shorter time.   

I’ve observed a similar principle among sensitive strivers — that overthinking expands to the time we allow it. In other words, if you give yourself one week to worry about something that is actually a one-hour task, you will waste an inordinate amount of time and energy.

Melody Wilding writing in the Harvard Business Review

Eight Suggestions about AI for Those Teaching this Fall  

The challenges that generative AI poses to teaching requires campus-wide faculty discussions. Most students will have to use generative AI when they move into their careers, and it would be a shame for them to graduate without understanding how to use it and without having wrestled with its ethical limits. As you prepare for your fall classes consider these suggestions: 

Have a Class Discussion. Talk openly and frankly with your students about your expectations regarding the use of generative AI in your classes as well as how you are using it yourself. Invite your students to share with you in an honest discussion about these and related questions. Keep in mind that the line between which AI is acceptable and which is not is often blurry because AI is being integrated into many different apps and programs.

Keep the Door Open. Cultivate an environment in which students will feel comfortable approaching you if they need more direct support—whether from you, their peers, or a campus resource to successfully complete an assignment. Talk to them about their motivations for turning to generative AI: time pressure, curiosity, burn out, etc.  Barnard College 

AI Bias. Make the students aware that AI can reflect societal prejudices. If the AI training sets underrepresent the views of marginalized populations, then the essays they produce may omit those views as well. Bloomberg

Vulnerable Students. Consider how chatting with AI systems might affect vulnerable students, including those with depression, anxiety, and other mental health challenges. Chronicle of Higher Ed

Privacy Issues. It is important for students to be aware that personal information provided to generative AI tools has the potential to be shared with third parties. This can may raise serious privacy concerns for your students and perhaps in particular, those students who are from marginalized backgrounds. Barnard College 

Think Through the Pedagogical Impact. What are the cognitive tasks students need to perform without AI assistance? When should students rely on AI assistance? Where can an AI aid facilitate a better outcome? Are there efficiencies in grading that can be gained? Are new rubrics and assignment descriptions needed? Inside Higher Ed 

A Syllabus Statement. Include a syllabus statement that gives clear guidance regarding your expectations for the use of generative AI in your classes. The Sentient Syllabus Project

AI Detectors. If you plan to put students’ work through an AI detector, please inform them in advance, keeping in mind that a reliable detection tool has yet to be developed. False positives carry real harm when a student is wrongly accused. English language learners, international students, and students with learning challenges might write in a style that instructors wrongly assume is AI when it is not. Washington Post

“There’s more of a danger in not teaching students how to use AI. If they’re not being taught under the mentorship of scholars and experts, they may be using it in ways that are either inappropriate or not factual or unethical.” Johanna Inman, quoted in the Chronicle of Higher Ed

Stop chasing originality

The quest for originality is a distraction. It usually leads to a self-obsessive focus on saying what’s never been said when all that really matters is saying what you believe, saying what you feel, and saying what you mean. When you first start doing this, you might not sound very original, but this process is precisely how you find your voice. 

TK Coleman, 5 Ways to Steal Like An Artist

The artist is a collector

An artist is a collector. Not a hoarder, mind you, there’s a difference: hoarders collect indiscriminately, the artist collects selectively. They only collect things that they really love. There’s an economic theory out there that if you take the incomes of your five closest friends and average them, the resulting number will be pretty close to your own income. I think the same thing is true of our idea incomes. You’re only going to be as good as the stuff you surround yourself with.

Austin Kleon, How to Steal Like an Artist

8 insightful quotes about AI Bias

In an analysis of thousands of images created by Stable Diffusion, we found that image sets generated for every high-paying job were dominated by subjects with lighter skin tones, while subjects with darker skin tones were more commonly generated by prompts like “fast-food worker” and “social worker.” Most occupations in the dataset were dominated by men, except for low-paying jobs like housekeeper and cashier. Bloomberg

Eight years ago, Google disabled its A.I. program’s ability to let people search for gorillas and monkeys through its Photos app because the algorithm was incorrectly sorting Black people into those categories. As recently as May of this year, the issue still had not been fixed. Two former employees who worked on the technology told The New York Times that Google had not trained the A.I. system with enough images of Black people. New York Times

MIT student Rona Wang asked an AI image creator app called Playground AI to make a photo of her look "professional." It gave her paler skin and blue eyes, and "made me look Caucasian." Boston Globe 

We have things like recidivism algorithms that are racially biased. Even soap dispensers that don’t read darker skin. Smartwatches and other health sensors don’t work as well for darker skin. Things like selfie sticks that are supposed to track your image don’t work that well for people with darker skin because image recognition in general is biased. The Markup

AI text may be biased toward established scientific ideas and hypotheses contained in the content on which the algorithms were trained. Science.org

No doubt AI-powered writing tools have shortcomings. But their presence offers educators an on-ramp to discussions about linguistic diversity and bias. Such discussions may be especially critical on U.S. campuses. Inside Higher Ed

Major companies behind A.I. image generators — including OpenAI, Stability AI and Midjourney — have pledged to improve their tools. “Bias is an important, industrywide problem,” Alex Beck, a spokeswoman for OpenAI, said in an email interview. She declined to say how many employees were working on racial bias, or how much money the company had allocated toward the problem. New York Times

As AI models become more advanced, the images they create are increasingly difficult to distinguish from actual photos, making it hard to know what’s real. If these images depicting amplified stereotypes of race and gender find their way back into future models as training data, next generation text-to-image AI models could become even more biased, creating a snowball effect of compounding bias with potentially wide implications for society. Bloomberg

Adapting to Change

Understand the greatest generals, the most creative strategists, stand out not because they have more knowledge but because they are able, when necessary, to drop their preconceived notions and focus intensely on the present movement. That is how creativity is sparked and opportunities are seized. Knowledge, experience, and theory have limitations: no amount of thinking in advance can prepare you for the chaos of life, for the infinite possibilities of the moment. The great philosopher of war, Carl von Clausewitz called this “friction”: the difference between our plans and what actually happens. Since friction is inevitable, our minds have to be capable of keeping up with change and adapting to the unexpected. The better we can adapt our thoughts to changing circumstances, the more realistic our responses to them will be. The more we lose ourselves in predigested theories and past experiences, the more inappropriate and delusional our response.

Robert Greene, The 33 Strategies of War

13 creative things people are trying to get AI to do

Can AI Read my mind?

A.I. Is Getting Better at Mind-Reading In a recent experiment, researchers used large language models to translate brain activity into words. – New York Times

Can AI translate the Bible?

USC researchers use AI to help translate Bible into very rare languages – Religious News Service

Can AI make astrological readings?

Is A.I. the Future of Astrology? – New York Times

Can AI Do your taxes?

Ready for AI to help you do your taxes? Taxfyle’s got you covered – Refresh Miami

How about answering questions from a ‘biblical’ perspective?

Christian creators build chatbots with ‘biblical’ worldview – Religious News Service

Can AI change the way wars are fought?

Our Oppenheimer Moment: The Creation of AI Weapons – New York Times

Can AI replace humans?

We Went to the Fast-Food Drive-Through to Find Out – Wall Street Journal

Can AI build websites?

Mobile website builder Universe launches AI-powered designer – Tech Crunch

Can AI write sermons?

Start-up AI Platform Aims to Help Pastors Make the Most of Their Sunday Sermons – Christian Standard 

Can AI write a song?

We asked Google’s new AI music bot to write us a song. We instantly regretted it – Science Focus

Can AI pilot airplanes or drones?

AI pilots, the future of aerial warfare – Air Force Tech

Can AI bring historical figures to life?

AI Chatbots Now Let You Talk to Historical Figures Like Shakespeare and Andy Warhol – My Modern Met 

Can AI create decent headshots?

I Used AI To Create My Professional Headshots And The Results Were Either Great Or Hilarious – Digg

Lasting Love

Lasting love is a passion that grows. The more we know the person, the more deeply we love him. There are a few who are struck like lightning. The minute they see someone they hear violins. This usually happens only in the movies. As one writer has suggested, it has to be “love at first sight” in a show that only has two hours to run.

Surveys continuously support love by growth. The overwhelming majority say they did not “fall in love” all at once. They met a person and found him attractive or interesting. Whatever caught their attention made them want to learn more. Possibly they met the person again or went on a date. At any rate, something started to grow. The person became more interesting.

Some people are frustrated because falling in love wasn’t like a divine revelation or a heart seizure. Consequently they even wonder if it is real. Such “falling” is a romantic dream that most of use have never experienced. But love which takes time can be the most enduring kind.

It is a question of expectation. Those who expect love to be automatic and instantaneous are often disappointed. It is more realistic to expect love to grow into full bloom as you live together in marriage. Then, rather than looking for an ideal experience, both lovers expect to change and grow.

William Coleman from his book Engaged

Practice Like you Play

Officers are trained to take a gun from an assailant in close quarters, a maneuver they practice by role-playing with a fellow officer. It requires speed and deftness: striking an assailant's wrist with one hand to break his grip while simultaneously wrestling the gun free with the other. It's a move that officers have been in the habit of honing through repetition, taking gun, handing it back, and taking it again.

Until one of their officers, on a call in the field, took the gun from an assailant and handed it right back again. In a mutual astonishment the officer managed to re-seize the gun and hang onto it. The training regime had violated the cardinal rule that you should practice like you play, because you will play like you practice.

Peter C. Brown and Henry L. Roediger III, Make It Stick: The Science of Successful Learning

The Information Riot

The Internet is an interruption system. It seizes our attention only to scramble it. There’s the problem of hypertext and the many different kinds of media coming at us simultaneously. Every time we shift our attention, the brain has to reorient itself, further taxing our mental resources. Many studies have shown that switching between just two tasks can add substantially to our cognitive load, impeding our thinking and increasing the likelihood that we’ll overlook or misinterpret important information.

On the Internet, where we generally juggle several tasks, the switching costs pile ever higher. We willingly accept the loss of concentration and focus, the fragmentation of our attention, and the thinning of our thoughts in return for the wealth of compelling, or at least diverting, information we receive.

Nicholas Carr
The Shallows

 

Your Sweet Spot

Once you understand introversion and extroversion as preferences for certain levels of stimulation, you can begin consciously trying to situate yourself in environments favorable to your own personality--neither over-stimulating nor understimulating, neither boring nor anxiety-making. You can optimize your life in terms of what personality psychologists call "optimal levels of arousal" and what I call "sweet spots," and by doing so feel more energetic and alive than before.

Your sweet spot is the place where you're optimally stimulated. You probably seek it out already without being aware that you're doing so. Imagine that you're lying contentedly in a hammock reading a great novel. This is a sweet spot. But after half an hour you realize that you've read the same sentence five times; now you're understimulated. So you call a friend and go out for brunch--in other words, you ratchet up your stimulation level--and as you laugh and gossip over blueberry pancakes, you're back, thank goodness, inside your sweet spot. But this agreeable state lasts only until your friend--an extrovert who needs much more stimulation than you do--persuades you to accompany her to a block party, where you're now confronted by loud music and a sea of strangers.

Your friend's neighbors seem affable enough, but you feel pressured to make small talk above the din of music. Now--bang, just like that--you've fallen out of your sweet spot, except this time you're overstimulated. And you'll probably feel that way until you pair off with someone on the periphery of the party for an in-depth conversation, or bow out altogether and return to your novel.

Imagine how much better you'll be at this sweet-spot game once you're aware of playing it. You can set up your work, your hobbies, and your social life so that you spend as much time inside your sweet spot as possible."

Susan Cain, Quiet: The Power of Introverts in a World that can't stop talking

Buying Happiness

Not long ago an enterprising professor at the Harvard Business School named Mike Norton persuaded a big investment bank to let him survey the bank’s rich clients. (The poor people in the survey were millionaires.) In a forthcoming paper, Norton and his colleagues track the effects of getting money on the happiness of people who already have a lot of it: a rich person getting even richer experiences zero gain in happiness. That’s not all that surprising; it’s what Norton asked next that led to an interesting insight. He asked these rich people how happy they were at any given moment. Then he asked them how much money they would need to be even happier. “All of them said they needed two to three times more than they had to feel happier,” says Norton.

The evidence overwhelmingly suggests that money, above a certain modest sum, does not have the power to buy happiness, and yet even very rich people continue to believe that it does: the happiness will come from the money they don’t yet have. To the general rule that money, above a certain low level, cannot buy happiness there is one exception. “While spending money upon oneself does nothing for one’s happiness,” says Norton, “spending it on others increases happiness.”

Michael Lewis writing in The New Republic

Wonder & Fear

The emergent properties of the latest large language models — their ability to stitch together what seems to pass for a primitive form of knowledge of the workings of our world — are not well understood. In the absence of understanding, the collective reaction to early encounters with this novel technology has been marked by an uneasy blend of wonder and fear.

It is not at all clear — not even to the scientists and programmers who build them — how or why the generative language and image models work. And the most advanced versions of the models have now started to demonstrate what one group of researchers has called “sparks of artificial general intelligence,” or forms of reasoning that appear to approximate the way that humans think.

Alexander Karp, CEO of Palantir Technologies, a company that creates data analysis software and works with the U.S. Department of Defense, writing in the New York Times

The building blocks

The stories we create to understand ourselves become the narrative of our lives, explaining the accidents and choices that have brought us to where we are: when I'm good at, what I care about most, and where I'm headed. If you're among the last kid standing on the sidelines as the softball teams are chosen up, the way you understand your place in the world likely changes a little, shaping your sense of ability and the subsequent paths you take. What you tell yourself about your ability plays a part in shaping the ways you learn and perform-how hard you apply yourself, for example, or your tolerance for risk-taking and your willingness to preserve in the face of difficulty.

But differences in skills, and your ability to convert new knowledge into building blocks for further learning, also shape your routes to success. Many of the best managers and coaches in pro sports were mediocre or poor players but happen to be exceptional students of their games.

Each of us has a large basket of resources in the form of aptitudes, prior knowledge, intelligence, interest, and sense of personal empowerment that shape how we learn and how we overcome our shortcomings. Some of these differences matter a lot-for example, our ability to extract underlying principles for new experiences and to convert new knowledge into mental structures.

Peter C. Brown and Henry L. Roediger III, Make It Stick: The Science of Successful Learning

8 Great Quotes About Teaching with AI  

Research shows that when students feel confident that they can successfully do the work assigned to them, they are less likely to cheat. And an important way to boost students’ confidence is to provide them with opportunities to experience success. ChatGPT can facilitate such experiences by offering students individualized support and breaking down complex problems into smaller challenges or tasks. The Conversation 

Rather than trying to stop the tools and, for instance, telling students not to use them, in my class I’m telling students to embrace them – but I expect their quality of work to be that much better now they have the help of these tools. Ultimately, by the end of the semester, I'm expecting the students to turn in assignments that are substantially more creative and interesting than the ones last year’s students or previous generations of students could have created. We Forum

ChatGPT can be directed to deliver feedback using positive, empathetic and encouraging language. Forexample, if a student completes a math problem incorrectly, instead of merely telling the student “You are wrong and the correct answer is …,” ChatGPT may initiate a conversation with the student. The Conversation

“AI can help with lesson planning,” Kerry O’Grady, an associate professor of public relations at Columbia University wrote, “ including selecting examples, reviewing key concepts before class, and helping with teaching/activity ideas.” This, she says, can help professors save both time and energy. Chronicle of Higher Ed

I don’t think that AI is going to necessarily destroy education. I don’t think it’s going to revolutionize education, either. I think it’s just going to sort of expand the toolbox of what’s possible in our classrooms. CalMatters

AI could analyze an individual learner's strengths, weaknesses and learning styles during online training and then recommend the most effective teaching methods and most relevant resources. Eventually, AI-powered virtual assistants could become standard features in learning platforms by providing real-time support and feedback to learners as they progress through their courses. TechTarget

Use these tools to help you understand challenging passages in assigned readings, or to build preliminary foundational knowledge to help you understand more difficult concepts. Don’t use AI to cheat — use it as a tool to help you learn. Chronicle of Higher Ed

As AI-enabled cheating roils colleges, professors turn to an ancient testing method— oral examinations, which date at least to ancient Greece, are getting new attention. Wall Street Journal

7 articles about AI & Ethics

Can AI chatbots like ChatGPT help us make ethical decisions rationally? - Vox

Amazon created an AI resume-reading software and worked on this project for two years, trying various kinds of bias-mitigation techniques. And at the end of the day, they couldn’t sufficiently de-bias it, and so they threw it out.  - CNN

Teaching AI Ethics - Leon Furze Blog

People Using Generative AI ChatGPT Are Instinctively Making This AI Rookie Mistake, A Vexing Recipe For AI Ethics And AI Law - Forbes

Online mental health company uses ChatGPT to help respond to users in experiment — raising ethical concerns around healthcare and AI technology - Business Insider

When AI Overrules the Nurses Caring for You - Wall Street Journal 

A.I. Is Becoming More Conversant. But Will It Get More Honest? - New York Times

Yes, you need data scientists and data engineers. You need those tech people. You also need people like sociologists, attorneys, especially civil rights attorneys, and people from risk. You need that cross-functional expertise because solving or mitigating bias in AI is not something that can just be left in the technologists’ hands. - CNN