I’ve documented over 100 AI products this year - you can see them at Teardowns.ai - and I’ve interviewed designers on Adobe’s AI teams. Here’s what I’m seeing: There are 5 different types of interfaces for AI. (immersive, integrated, dual track, dialog, and voice) Today I’m going to show you Dual Tracking. The concept is pretty simple: You just have two separate workflows side by side. For example, [Copy.ai](http://Copy.ai) puts a document editor on the right and the AI prompt builder on the left. The primary workflow in this example is to write a document. But you can move between manually editing the document itself, or walking through the AI workflow of editing parameters and confirming the AI output before you insert it into your document. This also exists in apps like Gamma, where the AI chatbot is in a sidebar on the right and the primary workflow - building a presentation - is on the left. A lot of times you see this sort of pattern of having two complex workflows side by sid...
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Figma pulls AI tool after criticism that it ripped off Apple’s design
The company pulled the rollout of the beta feature.
Getting Started with AI for UX
Use generative-AI tools to support and enhance your UX skills — not to replace them. Start with small UX tasks, and watch out for hallucinations and bad advice.
Voicing Erasure
The usability problem with prompt-driven AI
As the GenAI hype dust settles — it’s time to start thinking about usability and the opportunity it presents to address declining…
We tested ChatGPT in Bengali, Kurdish, and Tamil. It failed.
Outside of English, ChatGPT makes up words, fails logic tests, and can't do basic information retrieval.
Free AI tools are killing South Africa’s web designer job market
People are using ChatGPT to code and create basic designs, while salaries for web designers have dropped.
The Five Levels of AI Automation
Author : Apptest.ai As AI dominates the news headlines these days, it is worth pointing out the differences between AI capabilities. One of the earliest uses of a five-level classification system for AI came from the “self-driving car” industry. This [...]
Levels of automation
Managing AI Decision-Making Tools
The nature of micro-decisions requires some level of automation, particularly for real-time and higher-volume decisions. Automation is enabled by algorithms (the rules, predictions, constraints, and logic that determine how a micro-decision is made). And these decision-making algorithms are often described as artificial intelligence (AI). The critical question is, how do human managers manage these types of algorithm-powered systems. An autonomous system is conceptually very easy. Imagine a driverless car without a steering wheel. The driver simply tells the car where to go and hopes for the best. But the moment there’s a steering wheel, you have a problem. You must inform the driver when they might want to intervene, how they can intervene, and how much notice you will give them when the need to intervene arises. You must think carefully about the information you will present to the driver to help them make an appropriate intervention.
MDN can now automatically lie to people seeking technical information · Issue #9208 · mdn/yari
Summary MDN's new "ai explain" button on code blocks generates human-like text that may be correct by happenstance, or may contain convincing falsehoods. this is a strange decision fo...
UX for Language User Interfaces (LLM Bootcamp)
In this video, Sergey and Charles cover what is known about user experience design for the brave new world of Language User Interfaces (LUIs) that are enable...
On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
Generating a chain of thought (CoT) can increase large language model (LLM)
performance on a wide range of tasks. Zero-shot CoT evaluations, however, have
been conducted primarily on logical tasks (e.g. arithmetic, commonsense QA). In
this paper, we perform a controlled evaluation of zero-shot CoT across two
sensitive domains: harmful questions and stereotype benchmarks. We find that
using zero-shot CoT reasoning in a prompt can significantly increase a model's
likelihood to produce undesirable output. Without future advances in alignment
or explicit mitigation instructions, zero-shot CoT should be avoided on tasks
where models can make inferences about marginalized groups or harmful topics.
Creating a Space Game with OpenAI Codex
Learn more: https://openai.com/blog/openai-codex
This artist is creating a "belligerent algorithm" to expose AI bias
Artist and game maker A.M. Darke is creating a system based on their own prejudices to highlight the problem of AI bias in algorithms that govern our lives.
Blob Opera
Create your own opera inspired song with Blob Opera - no music skills required ! A machine learning experiment by David Li in collaboration with Google Art...