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The AI Era is Shortcutting the Technology Adoption Cycle
Are there consequences to shortcutting the Technology Adoption Cycle? AI is here to stay. It’s the genie that won’t go back into the bottle. But, is it a good or bad technology? Maybe that’s the wrong question. The better question: Why is AI being adopted differently than every other technology in history? What does that
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AI Gives You Volume. Accuracy Is Your Job.
Everyone has an opinion about AI right now. Some good, some bad. A lot of assumptions and aspirational thinking right now. But are people asking the right questions about AI? “Will AI replace my job?” “Use AI or else!” “What happens if AI fails?” I’ve decided that since AI is here to stay, I need
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The Impact of Widespread Downtime
This week, Verizon experienced a massive nationwide outage that lasted for about 10 hours. What can we learn from this? Quantifying Impacts of Quality It can be difficult to fully quantify the impacts of bugs, glitches, flaws in software. Quality by definition is qualitative, not quantitative. But when a major company reports a massive, nationwide
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Working With Disability, Not Against Disability
October is National Disability Employee Awareness Month. People with disabilities face a higher unemployment rate, and those that are employed are often underemployed and underpaid. Yes, disabled people may have needs that abled people do not. They may need accessibility options or accommodations. This is a form of equity and equality; it’s not about giving
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Adventures in AI: Boundaries and Data Access
I have to say that I’m very bearish about A.I. for a variety of reasons. I hope to turn this into a series of articles about A.I. from the perspective of a Software Quality Engineer. I’m a computer scientist by training, quality engineer by trade, and a tech ethicist by practice. Ethics in tech matters