10 Questions You Need to Ask Right Now

(seriously)

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Welcome back, Shit Givers.

Todayā€™s essay is like one big Action Step ā€” and couldnā€™t be more timely.

Feature update: For the past two years Iā€™ve shared hundreds of hours of 1:1 offline calls with CEOā€™s and students, farmers and founders, scientists and senators ā€” people who want to help, and who need help withā€¦whatever.

Itā€™s not coaching, and itā€™s definitely not consulting, but enough people have found our conversations valuable and I have so few hours to share that I synced my (very limited) availability up on Calendly, where you can buy (and probably expense!) my time. More info here.

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THIS WEEK

Ask these questions before you click on ANYTHING.

Plus: Gut inflammation news, California insurance gets harder to find, 750k adults just lost Medicaid, what (non-vaccinated) COVID actually does to your lungs, and more

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10 Questions You Should Absolutely Ask A Company Before You Use Their Fun New AI Tool

Thereā€™s tradeoffs to everything, from crushing an entire box of Girl Scout cookies to another round of chemo. What seems like an easy, if not great call almost always has some sort of long-term consequences.

This is especially true ā€œonlineā€, a vast wonderland and hellscape that basically didnā€™t exist when I was in high school, but has now permeated, empowered, and infected everything from how you communicate with your co-workers to wifi and GPS-enabled vibrators and electric lawn mowers.

In some cases, the tradeoffs are both immediately evident and clearly worth the cost.

So we spent the past decade willingly providing Facebook, Google, etc with our most intimate data, in exchange for connecting us (for free!) with old friends and new friends.

And we gave them our pictures and tagged ourselves and friends in them, whether our friends knew or agreed or not.

As GPS became available for civilian use, we gave those platforms ā€” suddenly among the largest companies of all time ā€” our location data, and we gave it to a bunch of upstarts, too.

We gave them our names, birthdays, our home address, our work address, our wedding dates, the names and addresses of our pediatricians and abortion clinics, our kids soccer fields and the days weā€™re usually there, our favorite bars, our ā€œprivateā€ DMā€™s and our voice, our pictures and video, our opinions, our meeting notes, our sonograms, and more.

A few months ago, when AI was first popping off, I wrote ā€œWhat Do You Needā€ about our collective browsing history:

ā€œIt was no longer so difficult to keep up with close friends and family, and eventually, even further, with former colleagues and sorority sisters. It was revelatory.

But it wasnā€™t enough, because maybe, sometimes, you just didnā€™t want to see my frequent ā€œItā€™s complicatedā€ relationship updates, but you really liked when Frank shared his marathon training updates.

And so in 2009, Facebook introduced the Like button. In 2011, after a couple years of compiling a then-rudimentary layer of user preferences, including by extending the Like button beyond Facebook itself, to the entire internet, the News Feed was changed from a chronological presentation to one algorithmically driven by how often and where you mashed that Like button.

In 2012 ads came to the News Feed, to pay for all of this computing power, ads increasingly hyper-targeted to you based on just how much of your personal information you were willing to share.

We never looked back.

We never looked back because that would require taking a long hard look at who we are, and why we keep building the same tools.

It would require looking back at who got left behind and why. It would require us asking questions like ā€œIs this new tool something weā€™re capable of handling?ā€ and ā€œWhat harm might it cause alongside incalculable profits?ā€

In 2022, platforms and companies and users that had been fucking around for quite a while finally found out as the Supreme Court obliterated privacy and your location and period data, among others, were suddenly evidence in court.

And now, on any given day, six hundred ā€œbiggest AI newsletters in the worldā€ trumpet six hundred new AI tools and plug-ins and extensions, many of which are genuinely exciting and most of which are the products of companies that didnā€™t exist on Friday.

It should be clear by now but it really, really behooves you to be very, very careful about who you give any of your data to. Oh, this new AI plug-in can record your family Zoom about whether or not to finally unplug Uncle Dave? So you donā€™t have to take notes? So it can provide you with a transcript and ā€” even better ā€” a summary of exactly which siblings weirdly jumped at the opportunity ā€œto do the bastard in after all these yearsā€?

So helpful! But what else is that company doing with your audio? Do you have literally any idea?

Many of these tools have immense promise to make us more productive, or even to contribute to a future we canā€™t possibly predict ā€” even if theyā€™ll inevitably flame out or be ā€œSherlockedā€ by one of the big five.

But in nearly every situation the ethical foundations are inevitably not great, Bob.

So instead of pounding out a couple thousand words on why, I simply put together a list of standard questions you and everyone should ask these revolutionaries before you even download their software, much less install it and provide it with direct access to your contacts, calendar, email, writing, photos, blood type, etc.

Hereā€™s what Iā€™d love for you to do: share them, widely and publicly.

Tweet these questions at the companies and CEOā€™s and the VCā€™s that fund them, and when they point you towards a hastily slapped together privacy policy, reiterate that you want them to answer these questions, your questions directly.

These questions arenā€™t perfect, but theyā€™re simple, self-explanatory, and grounded in data ethics.

Even better news: Long-time designer friend Bryan Flynn whipped together a delightful image you can share, below.

Ready? Letā€™s do this.

  1. What data of mine are you collecting?

  2. Where are you storing my data?

  3. How is my data encrypted?

  4. What safeguards do you have in place in case of a data theft, leak, or breach?

  5. Who has access to my data?

  6. Why do they have access to my data?

  7. Who are you sharing my data with?

  8. Who has decision-making power around use of my data?

  9. Is my data being used as training data?

  10. If so, how are you anonymizing (or de-identifying) my data?

  11. BONUS: How are you tracking me across the internet?

Thatā€™s it. Read them, memorize them, share them, and letā€™s make answering them the most basic prerequisite to a better, safer, more ethical (and maybe way more futuristic) internet.

ā€” Quinn

10 Questions You Should Absolutely Ask A Company Before You Use Their Fun New AI Tool

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