AI & People: What Kind of History Will We Write Together? (Part 3)
How much of your private information are you willing to share? How far are you willing to go? How far is too far?
How much of your private information are you willing to share? How far are you willing to go?
How far is too far?
If you haven’t yet read Parts 1 and 2, you can find them here 😃 and here 😃.
Remember the good ‘ol days when data-sharing meant typewriters, faxes, 🔐photocopiers, and postal mail? Information sharing wasn’t as fast or large scale back then, and neither were advancements in medical research and other beneficial applications.
It’s a balancing act.
How can we do the most good in areas like (for example) healthcare and criminal investigation, while doing the least damage to privacy through:
- legitimate information-sharing
- a decreased right to say yes/no to the sharing of our personal information
- cybercriminal opportunities that naturally accompany gathering/sharing of data
In Parts 1 and 2, I talk about the need for privacy to become very real to everyone (and it may already be very real to you) because:
Privacy is NOT a digital-world problem. Privacy has NEVER been a digital-world problem. Privacy is about PEOPLE.
Let’s review:
Part 1 is subtitled “Is privacy still possible?” because in today’s society, when most people think of “information privacy”, they think of digital information.
Part 2 brought us closer to the real question: “Has privacy ever been possible?” Privacy issues have existed throughout history, just not with the added kick of global access, digital storage, and lightning fast data transport.
Back to Part 3:
How far is too far?
Which is another way of saying… How long until we have lost so much choice in our own privacy that we can’t reverse back to where we want to be (and likely where we thought we were).
How long until we, as a society and a global population, “can’t back this truck up”.
Privacy is about PEOPLE. It’s always been about people — and the choices we, as people, make. It’s about information, discussion, empathy, honesty, transparency, and trade-offs.
It’s not easy, is it?
My Final Thoughts…
Be objective and informed. The basics aren’t as daunting as they may seem at first.
We are all in this together!
AI has amazing potential, AND the more we benefit from data-driven research, the more we risk losing our privacy: personally and legally. Both realities exist simultaneously.
As we work toward impactful solutions in health, education, food distribution, inclusion, information privacy, and more, we MUST remember to respect both ourselves and our technology.
BECAUSE once lost, your privacy is never coming back.
THAT IS WHY we must make sure the cost is worth the benefit.
Ask questions.
Engage those of us within this industry in conversation.
Follow organizations like The Algorithmic Justice League, the Electronic Frontier Foundation (EFF), and others.
Where is AI headed in 2023? Where should AI be headed in 2023? We need to answer these questions — and many others — together.
This is a long list and I’m sure each of you has ideas to share that will make it longer. I would love to hear all of them! Use comment, DM or email — whatever works for you — and let’s talk.
Let’s keep the conversation going!
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Let’s Keep Cyber Criminals Unemployed!
⭐️ Stay safe! ⭐️
Originally published at https://www.linkedin.com.