Unfiltered AI UX Design Translations?
© Prosper Jerominus 2023 – CC BY-NC 4.0
Speak aiPod001:
Unfiltered AI UX Design Translations
Listen to the Speak aiPod001. It’s free.
Welcome to the first AI UX design Nerds Unfiltered AI podcast. I call it an aiPod because I have generated it, with AI also.
In this aiPoad we explore the chaotic world of AI UX design. Good intentions often meet reality here. ‘Innovative’ sometimes means ‘what were we thinking?’
This quirky first-doodling AI audio-guide is like a podcast on caffeine+.
It runs for a solid 18 minutes.
It is perfect for those who can’t decide between a quick coffee break or a deep dive!
It simplifies UX design language. This mysterious jargon often sounds like a foreign language to practitioners and users alike.
It hilariously breaks down the peculiar dialects of UX design collaborations.
This is especially vivid when AI contributes its insightful, albeit automated wisdom into the mix.
Let’s get a bit nerdy!
Check out Speak aiPod001.
Explore the Train & reflect, free resources below.
Learn how to match and reflect typical designer’s Speak with their assumed level of expertise.
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Listen to the Speak aiPod001. It’s free.
In this Speak aiPod001, we’re unpacking the at time hilarious truth about AI user experience design. We’re moving from naive optimism to destructive honesty. We’re peeling back the layers of what really happens when designers try to make AI work for actual humans.
Buckle up, because this isn’t your typical design tech podcast. This aiPod is a raw, unfiltered look at the AI design Speak trenches.
It’s brought to you by kinokast.org for free.
Want to listen to my first AB Converse with team Aiko & Blaise, with no visual interference, just their exquisite AI voices? (10:50 min, just a honest cup of coffee)
Speak – aiPod002 is in the make! Stay Tuned!
Notes on genAI (generative Artificial Intelligence) fabrications
In AI generated content just watch out for these stupid AI repetitions. Be cautious of complete aberrations as to someone’s supposed genius or the existence of any truth that is not checked. Also, filter out these smart formulas – automatically overdone marketing voice.
It’s just an AI after all.
This Speak aiPod should not be consumed without basic skills in critical thinking and grounded sense of humor.
You were warned time again:
It’s AI’s fault!
(me? I am just a simple human tinkering with genAI)
Train and reflect on your own AI Speak, below
– Mentoring the mentor in you –
(you can answer the questions in comments or in any note taking tool, thanks for interacting!)
Train your AI Speak with free triggering resources below
Resource 01: Speak 001 Q&A – What are you saying? -(Quiz-like)
Resource 01: UX AI Speak Q&A
What are you saying?
Q1: How might a junior designer approach AI integration?
A: “I’ll put ‘AI-powered’ badges everywhere.”
Seems Politely Clueless[1].
Q2: What’s a common mistake when simplifying AI solutions?
A: A: “I’ll add a chat bubble icon and call it a day.”
Appears Politely Clueless[2].
Q3: How do inexperienced designers often handle technical AI aspects?
A: “Please don’t ask me about prompt engineering.”
Sounds Naively Optimistic[4].
Q4: What’s a superficial approach to AI-related performance issues?
A: “I’ll add loading animations to hide the API delays.”
Comes across as Naively Optimistic[6].
Q5: How might a mid-level designer address user confusion with AI?
“Nobody knows when they’re talking to a bot vs. a human.”
Seems Tactically Aware[8].
Q6: What’s a pragmatic workaround for AI limitations?
A: “I’ll fake it with hardcoded responses until we get API access.”
Appears Tactically Aware[9].
Q7: How do experienced designers view poor AI implementations?
A: “This is the worst implementation I’ve seen in my 15-year career.”
Sounds Aggressively Experienced and Sarcastically Honest.
Q8: What’s a senior designer’s perspective on overusing AI?
A: “Stop slapping LLMs onto everything that moves.”
Appears Aggressively Experienced and Sarcastically Honest.
Q9: How might a senior designer criticize simplistic AI solutions?
A: “Your startup’s ‘AI agents’ are just if-else statements in a trench coat.”
Seems Destructively Honest.
Q10: What’s a common criticism of AI-driven design trends?
“For the love of usability, stop copying ChatGPT.”
Appears Pragmatically Cynical.
Q11: How might a junior designer handle unfamiliar AI concepts?
A: “I’m not a subject matter expert.”
Sounds Naive.
Q12: What’s a typical junior approach to AI-generated content?
A: “Let’s use AI-generated content.”
Appears Useless.
Q13: How might a mid-level designer manipulate AI-related data?
A: “The data shows…” (while thinking “I cherry-picked the data to support my argument.”)
Seems Manipulative
Q14: What’s a common excuse for avoiding AI implementation details?
A: “Let’s take this offline.”
Appears Tactical.
Q15: How might a senior designer sarcastically respond to unrealistic AI timelines?
A: “That’s an ambitious timeline.” (while thinking “You’re living in a fantasy world.”)
Sounds Destructive.
Q16: What’s a typical senior designer’s response to overhyped AI features?
A: “Let’s keep this user-friendly.” (while thinking “Please, let’s not require a manual for people to understand this.”)
Appears Destructive.
Q17: How might a designer justify using AI without understanding it?
A: “We need to integrate AI into our design process.” (while thinking “I’m not sure how AI works, but we need to use it to stay relevant.”)
Seems Radical.
Q18: What’s a common approach to AI-driven personalization?
A: “AI can help us personalize the user experience.” (while thinking “We’re going to track user behavior more closely.”)
Appears Radical.
Q19: How might a designer use AI to avoid decision-making?
A: “AI will optimize our design decisions.” (while thinking “I’m hoping AI can make decisions I’m not confident about.”)
Sounds Radical.
Q20: What’s a typical response to user suspicion of AI features?
A: “We need to design for AI transparency.” (while thinking “Users are getting suspicious of our AI features.”)
Appears Radical.
Footnotes:
[1] https://ppl-ai-file-upload.s3.amazonaws.com/web/direct-files/6196010/0b30236f-b9ec-49f1-92e1-e7f301a78f16/Decoding-UX-Designer-Speak-in-AI-Projects-NorbookLM-Tinker-Sheet1-2.pdf
[2] https://www.usebraintrust.com/hire/interview-questions/ai-designers
[3] https://uxdesign.cc/ux-design-for-ai-products-1c2e87db8569
[4] https://www.sgh.com/insight/artificial-intelligence-and-its-use-by-aec-design-professionals/
[5] https://architectureau.com/articles/ai-and-design-questions-of-ethics/
[6] https://www.toptal.com/designers/ux/interview-questions
[7] https://startupsventurecapital.com/ux-interview-ultimate-list-of-questions-d33e46b787aa?gi=9d440fe01606
[8] https://promptdrive.ai/ai-prompts-ux-design/
[9] https://www.springboard.com/blog/data-science/ux-design-prompts/
Resource 02: Speak 001 Q&A – Which level of expertise? -(Guide-like)
Add your answers in the comments below!
Resource 02: UX AI Speak Q&A
Which level of expertise? Search for an answer
Question:
Consider your personal experience and guidance needs.
–Which level of expertise —‘starter/junior’, ‘mid-career’, or ‘senior/ seasoned’— do you think matches best with Speak you hear or read in your AI UX design work or research?
Consider all Speak quoted or heard statements in this Speak 001 room, yes here!
Get answers from my free, downloadable Speak Guide framework, SHARE THEM IN COMMENTS BELOW!
Please tell me how the Guide matches your expectation. This will help me greatly in improving it as we go.Thank you!
Resource 03: Speak 001 – Listen to AB Converse with Aiko & Blaise -(Podcast-like)
Add your comments below!
Resource 03: Listen to AB Converse with Aiko & Blaise
An genAI podcast aiPod conversation called AB Converse
The AB Converse Speak aiPods with Aiko & Blaise are free resources to listen to at home, work or on the road!
Let me know if you find it a valuable resource and how it matches your expectations?
This will greatly help me target it well and improve the user experience!
Hello, I am Aiko!
And I am Blaise…
Together we’re afraid we make up the AB Converse Speak team!
(And yes, we know we look just great)
Listen to aiPod AB Converse with Aiko & Blaise – 001
(10:50 min)
Some taste of the genAI AB Converse-001, below
Aiko: …helping them understand that AI is a tool, not a magic fix it button…
Blaise: It’s not just going to solve all our problems.
Aiko: Nope.
Blaise: So it’s about helping them ask the right questions.
Aiko: Exactly.
Blaise: Like, what are we actually trying to solve here?
Aiko: Yeah.
Blaise: What user problem are we actually trying to solve with AI?
Aiko: Is a chatbot really the best solution?
Blaise: Sometimes it is. Sometimes it’s not.
Aiko: How do we make sure this AI feature is transparent and understandable for users.
Blaise: Those are the questions we need to be asking.
Aiko: And maybe steer them away from slapping those AI-powered badges on everything.
Blaise: Gently, gently.
Aiko: Yeah, gently.
Blaise: But seriously, we need to encourage them to dig deeper into user research, data analysis.
Aiko: And those ethical considerations.
Blaise: Ethical considerations are huge.
Aiko: Absolutely.
Blaise: We can’t just ignore those.
Aiko: … …
Can we be serious and also ironic with our Speak (?) aiPods…
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Don’t hold back — share your own AI UX Speak!
The key to gaining (some) raging success?
Stop treating AI like magical fairy dust and start building actual integrated systems that solve real problems. But hey, what do we know?
We’re just the designers who have to make this stuff usable for actual humans. ?
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