99 STASHED IDEAS
Companies are leveraging data and artificial intelligence to create scalable solutions — but they’re also scaling their reputational, regulatory, and legal risks.
Just a few years ago discussions of “data ethics” and “AI ethics” were reserved for nonprofit organizations and academics. Today the biggest tech companies in the world are putting together fast-growing teams to tackle the ethical problems that arise from the widespread collection, analysis, and use of massive troves of data, particularly when that data is used to train machine learning models, aka AI.
These companies realized one simple truth: failing to operationalize data and AI ethics is a threat to the bottom line. Missing the mark can expose companies to reputational, regulatory, and legal risks, but that’s not the half of it. Failing to operationalize data and AI ethics leads to wasted resources, inefficiencies in product development and deployment, and even an inability to use data to train AI models at all.
Creativity needs stimulus, but also an optimum load of boredom to thrive. Too much boredom will make one lethargic, as in the case for imposed isolation of lockdowns across the world. One has to find the unique boredom sweet spot.
Creativity is not a linear process, and one needs bursts of isolation and stimuli to weave the creative content.
For many people in creative professions, a lack of stimulus and isolation hampers work. Yet for some, a lockdown and being completely alone with oneself is a boon for real creativity.
Such contradiction makes understanding creativity hard, but the two main factors for creative thinking are openness to new experiences and being comfortable with one’s own thoughts and inner voice.
One can try to redefine what kind of stimuli would be useful in the creative process, as it is easy to get stuck in the old methods of finding creative sparks.
Taking risks is a way towards potential growth, even if it is not according to the original plan.
When entrepreneurs fail at their startup, a large chunk of them still benefit by:
When starting a project that requires time, energy and resources, the cost-benefit ratio is a good rule for deciding if the plunge is worth it.
One has to think about the risk in terms of probability, while also keeping in mind what is at stake: Will the effort, time, money and resources that are spent will go down the drain or will all of it still provide value in case the primary goal is not reached.
One needs to take into consideration that any risky decision has the probability of failure, keeping in mind the potential benefits of not reaching the goal.
The ideal decision model should:
In science, "statistically significant" is the effect that can be picked up with a particular statistical tool called a p-value. A good p-value (or calculated probability) is arbitrary and can vary between scientific fields. The cut-off for statistically significant is a p-value of 0.05.
One problem is that if you run a study multiple times or do a whole bunch of different statistical analyses on the same data, your results could look meaningful purely by chance.
In a peer review system, independent, anonymous experts read over a paper submitted to a journal. They can recommend revisions to the text, new experiments that should be added, or even that the journal shouldn't publish the paper.
But reviewers aren't asked to ensure that the results are absolutely correct. It would be too time-consuming and impractical. That means that a peer review is mostly beneficial, but not perfect.
The world is full of evidence and studies, some good and some poor.
Studies can suffer from selection bias when people are recruited from a specific group that are not representative of the whole. Scientists select a smaller group to study, but the chosen set isn't random enough and is therefore somehow biased in favor of a specific outcome of the study.
Selection bias can also occur when certain types of people are more likely to want to be involved or are more committed to staying in a longer experiment.
A hypothesis is often the first step of the scientific method. It is a proposed and still-unproven explanation that can be tested through experiments and observations.
In science, a theory is a widely accepted idea backed by data, observations, and experiments. Of course, established scientific theories can later be changed or rejected if there's enough data to support it.
One type of conflict of interest is financial. It could be someone who received funding from a company with a vested interest in the study's outcome. Or that person has a relationship with the company that could lead to benefits in the future.
A recent analysis found that from 7 to 32 percent of randomized trials in top medical journals were funded by medical industry sources.
If you are looking at a clinical trial, a psychology study, or an animal study, it must be a randomized, placebo-controlled, double-blind study.
Bad ideas are not your enemy. They are essential steps to better ideas.
Focus on making something worth sharing. How small can you make it and still do something you're proud of? Could you play just one note on the clarinet that's worth listening to?
There is a community of critics and tweakers and tinkerers that are ready to criticize the logo your agency put together. What is scarce are the people willing to make the logo themselves.
Here is then a clue about what to do next: Go first. After you have done the scary bits, you can easily get help from the people who are good at smoothing out the rough places with their critiques.
We all seek out "good" or even "great". But we need to define what good is before we begin. Twelve publishers rejected Harry Potter, but then it became a worldwide phenomenon and was suddenly good enough.
Judge your work by asking what it is for and who it is for. If it achieves its mission, then it is good.
It’s tempting to think that all the good ideas must be taken by now and that there is no possible way to make any new positive contribution.
However, the story of every good idea, every new project, every novel starts with: There was a bad idea. And then there was a better one.
This is not your one and only chance. You won't run out of ideas.
There is no perfect idea, just the next thing you haven't discovered yet. No one is keeping you from posting a video or blogging every day, or hanging up your artwork. You have to do the steps.