Tags: agency

Stop saying that AI is just a tool and it only matters how it is used | Frank Elavsky

Must be something in the air.

The luxury of saying no.

If I’m understanding Greg correctly here, he’s saying it’s okay for people to use large language models …because they’re being forced to?

One persistent piece of slopaganda you’ll hear is this:

“It’s just a tool. What matters is how you use it.”

This isn’t a new tack. The same justification has been applied to many technologies.

Leaving aside Kranzberg’s first law, large language models are the very antithesis of a neutral technology. They’re imbued with bias and political decisions at every level.

There’s the obvious problem of where the training data comes from. It’s stolen. Everyone knows this, but some people would rather pretend they don’t know how the sausage is made.

But if you set aside how the tool is made, it’s still just a tool, right? A building is still a building even if it’s built on stolen land.

Except with large language models, the training data is just the first step. After that you need to traumatise an underpaid workforce to remove the most horrifying content. Then you build an opaque black box that end-users have no control over.

Take temperature, for example. That’s the degree of probability a large language model uses for choosing the next token. Dial the temperature too low and the tool will parrot its training data too closely, making it a plagiarism machine. Dial the temperature too high and the tool generates what we kindly call “hallucinations”.

Either way, you have no control over that dial. Someone else is making that decision for you.

A large language model is as neutral as an AK-47.

I understand why people want to feel in control of the tools they’re using. I know why people will use large language models for some tasks—brainstorming, rubber ducking—but strictly avoid them for any outputs intended for human consumption.

You could even convince yourself that a large language model is like a bicycle for the mind. In truth, a large language model is more like one of those hover chairs on the spaceship in WALL·E.

Large language models don’t amplify your creativity and agency. Large language models stunt your creativity and rob you of agency.

When someone applies a large language model it is an example of tool use. But the large language model isn’t the tool.

But what if I really want a faster horse? | exotext

Overall, consistency, user control, and actual UX innovation are in decline. Everything is converging on TikTok—which is basically TV with infinite channels. You don’t control anything except the channel switch. It’s like Carcinisation, a form of convergent evolution where unrelated crustaceans all evolve into something vaguely crab-shaped.

Generative AI use and human agency

You do not have to use generative AI.

AI itself cannot be held to account.

If you use AI, you are the one who is accountable for whatever you produce with it.

There are contexts in which it is immoral to use generative AI.

Correcting or fact checking generative AI may take longer than just doing a task yourself, or with conventional AI tools.

You do not have to use generative AI.

How Indie Devs and Small Teams Can Win in a Tech Downturn - The New Stack

In which Rich nails Clearleft’s superpower:

“Clearleft is a relatively small team, but we can achieve big results because we are nimble and extremely experienced. As strategic design partners, we have a privileged position where we can work around a large company’s politics,” Rutter said. “We need to understand those politics — and help the client staff navigate them — but we don’t need to be bound by them. We bring a thoroughly user-centered approach to our design partnership, and that can be something novel to companies. By showing them what good design looks like (not so much the interface, as the actual process of getting to really well-designed products and services), we can be disruptive within the organization and leave them in a much better place.”

“We bring the same problem-solving ethos that underpins great design.” | Top Interactive Agencies

Here’s a nice interview with Rich all about how things work at Clearleft.

Motorcycles, Cars, Websites, and Seams - Jim Nielsen’s Blog

Seams.

The map-reduce is not the territory

Unlike many people, I’m not particularly worried about AI replacing peoples’ jobs, although employers will certainly try and use it to reduce their headcount. I’m more worried about it transforming jobs into roles without agency or space to be human. Imagine a world where performance reviews are conducted by software; where deviance from the norm is flagged electronically, and where hiring and firing can be performed without input from a human. Imagine models that can predict when unionization is about to occur in a workplace. All of this exists today, but in relatively experimental form. Capital needs predictability and scale; for most jobs, the incentives are not in favor of human diversity and intuition.

The Web Is For User Agency

I can get behind this:

I take it as my starting point that when we say that we want to build a better Web our guiding star is to improve user agency and that user agency is what the Web is for.

Robin dives into the philosphy and ethics of this position, but he also points to some very concrete implementations of it:

• Accessibility,
• Internationlization,
• Security, and
• Privacy

These shared foundations for Web technologies (which the W3C refers to as “horizontal review” but they have broader applicability in the Web community beyond standards) are all specific, concrete implementations of the Web’s goal of developing user agency — they are about capabilities. We don’t habitually think of them as ethical or political goals, but they are: they aren’t random things that someone did for fun — they serve a purpose. And they work because they implement ethics that get dirty with the tangible details.

Middle Management — Real Life

The introduction to this critique of Keller Easterling’s Medium Design is all about seams:

Imagine the tech utopia of mainstream science fiction. The bustle of self-driving cars, helpful robot assistants, and holograms throughout the sparkling city square immediately marks this world apart from ours, but something else is different, something that can only be described in terms of ambiance. Everything is frictionless here: The streets are filled with commuters, as is the sky, but the vehicles attune their choreography to one another so precisely that there is never any traffic, only an endless smooth procession through space. The people radiate a sense of purpose; they are all on their way somewhere, or else, they have already arrived. There’s an overwhelming amount of activity on display at every corner, but it does not feel chaotic, because there is no visible strife or deprivation. We might appreciate its otherworldly beauty, but we need not question the underlying mechanics of this utopia — everything works because it was designed to work, and in this world, design governs the space we inhabit as surely and exactly as the laws of physics.

Presentable #96: The Employee-Owned Design Agency - Relay FM

If you want to know more about Clearleft’s new employee-ownserhip model, Andy tells Jeff all about it in this huffduffable hour of audio.

Clearleft turned fifteen this year. We didn’t make a big deal of it. What with The Situation and all, it didn’t seem fitting to be self-congratulatory. Still, any agency that can survive for a decade and a half deserves some recognition.

Cassie marked the anniversary by designing and building a beautiful timeline of Clearleft’s history.

Here’s a post I wrote 15 years ago:

Most of you probably know this already, but I’ve joined forces with Andy and Richard. Collectively, we are known as Clearleft.

I didn’t make too much of a big deal of it back then. I think I was afraid I’d jinx it. I still kind of feel that way. Fifteen years of success? Beginner’s luck.

Despite being one of the three founders, I was never an owner of Clearleft. I let Andy and Rich take the risks and rewards on their shoulders while I take a salary, the same as any other employee.

But now, after fifteen years, I am also an owner of Clearleft.

So is Trys. And Cassie. And Benjamin. And everyone else at Clearleft.

Clearleft is now owned by an employee ownership trust. This isn’t like owning shares in a company—a common Silicon Valley honeypot. This is literally owning the company. Shares are transferable—this isn’t. As long as I’m an employee at Clearleft, I’m a part owner.

On a day-to-day basis, none of this makes much difference. Everyone continues to do great work, the same as before. The difference is in what happens to any profit produced as a result of that work. The owners decide what to do with that profit. The owners are us.

In most companies you’ve got a tension between a board representing the stakeholders and a union representing the workers. In the case of an employee ownership trust, the interests are one and the same. The stakeholders are the workers.

It’ll be fascinating to see how this plays out. Check back again in fifteen years.

Clearleft turns fifteen | Clearleft

Fifteen years ago…

On design systems and agency | Andrew Travers

Design systems can often ‘read’ as very top down, but need to be bottom up to reflect the needs of different users of different services in different contexts.

I’ve yet to be involved in a design system that hasn’t struggled to some extent for participation and contribution from the whole of its design community.

Paul Ford: Facebook Is Why We Need a Digital Protection Agency - Bloomberg

The word “leak” is right. Our sense of control over our own destinies is being challenged by these leaks. Giant internet platforms are poisoning the commons. They’ve automated it.

AMPlified. — Ethan Marcotte

As of this moment, the power dynamics are skewed pretty severely in favor of Google’s proprietary AMP standard, and against those of us who’d ask this question:

What can I do about AMP?

Inside Design: Clearleft

A profile of Clearleft from the nice people at InVision.

Although there is this:

@adactio looks like you are trying really hard to not crack up laughing & shoot coffee out of your nose in this posed photo. /cc @andybudd pic.twitter.com/WQbRmqqpY8

— Nick Finck (@nickf) November 7, 2017

Design in the Era of the Algorithm | Big Medium

The transcript of Josh’s fantastic talk on machine learning, voice, data, APIs, and all the other tools of algorithmic design:

The design and presentation of data is just as important as the underlying algorithm. Algorithmic interfaces are a huge part of our future, and getting their design right is critical—and very, very hard to do.

Josh put together ten design principles for conceiving, designing, and managing data-driven products. I’ve added them to my collection.

1. Favor accuracy over speed
2. Allow for ambiguity
3. Add human judgment
4. Advocate sunshine
5. Embrace multiple systems
6. Make it easy to contribute (accurate) data
7. Root out bias and bad assumptions
8. Give people control over their data
9. Be loyal to the user
10. Take responsibility

Blandly. A Full-Service Integrated Digital Blanding Agency

Well, we might as well bin the Clearleft website rebranding project. Somebody has beaten us to it.