Everyday Ethical AI

Whether to tag connections in posts or comments or not at all, thoughts on why 'flock' is better than 'tribe' for a like-minded social community, and a poll.

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Most of us have to write for our jobs and daily lives. We write emails, letters, resumes, and so much more. Some of us even want to write (hello, Substackers 👋).

I’m working this year on becoming a better writer. If you’re curious about better writing, too, this episode covers my explorations of measuring readability accurately enough to be useful for improving my writing on a shoestring budget - what tool I chose and why.

Contents of this episode:

* Overview - what problem am I trying to solve, and what did I already try?

* Approach - how am I going to solve it?

* Data Analysis - what I did and what I learned.

* Conclusions - what I decided and why.

* What’s Next? - actions I’m taking as a result of the evaluation.

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A personal story on building knowledge and curiosity, with credit to my dad.

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Lots of hubbub this week about how OpenAI created the “Sky” voice that somehow sounded just like Scarlett Johansson, despite her clearly-expressed NO when her consent was sought. (Good for her for fighting back!)

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How a disc golf lesson helped me get better results and have more fun in work and life.

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Too long? Too short? Analyzing my Substack post lengths

Thanks in part to a post by Russell Nohelty about his thoughts on post sizes, I realized in my March retrospective that I need to plan writing effort on my posts based on sizes. But what’s “short” and what’s “long” for me and for my readers?

To evaluate size thresholds, I looked through two lenses: my own data, and industry practices. This post summarizes what I found, and what I’m going to do next 🙂

What my data says

What the internet says

Decision

Next Steps

This article on "Inconvenient Principles" is on why I don’t use generative AI for creating images (or audio, video, ...) for my publications and other work, and what has to happen before I will.

I went on the record recently about why I don’t use generative AI for helping me write, and why I don’t ever expect to change that position. This post is about why I don’t currently use generative AI for non-written content to complement my writing (e.g. images, audio, video, …), and how & why that could change in future.

The Trigger

Being a Non-Participant

My 3 Reasons Why:

1. Golden Rule

2. “Pro-choice” view 

3. Legal vs Ethical

Current State - need for transparency and why I believe every content creator should have an AI usage policy

Looking Ahead

In “Through the viewfinder: Seeing with photos”, I described how taking pictures helps me SEE. Here’s one example of how my pictures also prompt me to THINK.

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I love taking photos, especially pictures that help me see or make me think. Here's a story about a favorite photo that helped me see, and 3 reasons why it's a favorite.

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"AI Without AI" - My AI usage policy page, on why all of my posts (even on AI) are 100% human-authored, and why I think every website needs an AI usage policy page.

AI and tech have their place, certainly - that’s a big part of what I write about (by myself here in Agile Analytics and Beyond, and with my collaborators on Six P's in AI Pods).

When I joined Substack in January, I committed that all of my Substack newsletter posts would be 100% human-written, as a matter of policy … no generative-AI written pieces. Here’s why.

My Views as a Reader

- being pro-choice

- looking for transparency and ethically sourced tools

My Views as a Writer - My body (of work), my choice.