Thomas Otto (he/him)

@thomasotto
49 Followers
38 Following
38 Posts
Leading UX at Wandelbots | A.I. & ML | Data (ethics) & Privacy | Between design, tech, and business. (opinions are mine)
Webhttps://www.thomas-otto.net
Data ethics toolkithttps://www.designhumandata.net
How to create an algorithmic system people can #trust? Working on my version 1.1 of my new framework to help teams create better algorithmic systems. Bridging the gap of abstract discussions to implementation. What are you missing for your day-to-day work? #algorithm #UX #product
One of the reasons, why we have to keep pushing for designing better #algorythmic #systems train and diversify teams for inclusion. It's not a matter of good will, it's part of your business success. #ai #ux #microsoft
As designers, we should plan and build for a wide range of social contexts, instead of just thinking about the intended use of a system. #design #systems #product #ux
Excited about the acceptance of my @hciinews tutorial on trustworthy algorithmic systems! Looking forward to meeting at HCI International 2023 in Copenhagen this week. If you're attending the conference, let's connect, or you can reserve a spot in the tutorial.
Mein neuer Lieblingssatz von @Golem zum Thema Daten:
Wer nicht weiß, was sie wissen möchten, für die sind alle Daten falsch.
#data #datenstrategie
Sam Altman public tour through different countries, events and forums feels like great PR. Not addressing the own business practises too much. Worrying about the future but in a cloudy way with no real regulations, please. #ai #algorithms #openai
A well-researched look at how AI is seen and how it affects different industries. The quintessence of the video? There is not a perfect tech solution, situations are more complex than people think, and humans seem to be the main source of harm. #ai #alogrythm #ux
https://m.youtube.com/watch?v=MywLhUZXhUY&feature=youtu.be
The Dystopian AI-ification of Capitalism

YouTube
Experts and algorithms working hand in hand: »Knowing what songs might be particularly “singable” is difficult to describe in #algorithms. [...] It’s hard to describe why, but you know it when you hear it. This is where human intuition comes in.« #ux https://engineering.atspotify.com/2023/04/humans-machines-a-look-behind-spotifys-algotorial-playlists/
Humans + Machines: A Look Behind Spotify’s Algotorial Playlists

TL;DR Since 2017, Spotify has been working to create a better listening experience for our users by applying the expertise of our curators with algorithmic personalization. The outcome of these efforts has resulted in what we call “Algotorial” playlists.

Spotify Engineering

#ai is all about the #data. You get a good glimpse about a company, when you are analyzing their handling of data.

https://www.washingtonpost.com/technology/interactive/2023/ai-chatbot-learning/

See the websites that make AI bots like ChatGPT sound so smart

An analysis of a chatbot data set by The Washington Post reveals the proprietary, personal, and often offensive websites that go into an AI’s training data.

The Washington Post
Trickster - »My job is to trick companies into doing the right thing.« True as designers? Or maybe it is the wrong company we work for when we have to use this approach? #ux #hcd #goodread
https://odannyboy.medium.com/create-more-value-than-you-take-8e2000240317
Create More Value Than You Take - Dan Saffer - Medium

Over the last decade, the tech industry has seen a shift towards prioritizing value extraction over value creation. Companies are increasingly focused on maximizing profits, often at the expense of…

Medium