Developers can now access and build with the latest Gemini models through the OpenAI Library and REST API. Update your code with three lines and get started.

Meta’s Threads app, seen as a formidable competitor to Twitter, has garnered over 10 million sign-ups within seven hours of launch, offering features similar to Twitter and attracting users from Instagram.

A Washington Post report said clicking a link on X to one of the affected websites resulted in a delay of about five seconds before the webpage loaded

Reports from Downdetector.com revealed access issues, with X users unable to view posts and encountering a “Welcome to X!” message, while X Pro (previously TweetDeck) experienced loading problems displaying a “Waiting for posts” pop-up.

In her How to Use AI to Build Accessible Products presentation at Smashing Conf New York, Carie Fisher discussed using AI coding tools to test and suggest fixes for accessibility issues in Web pages. Here's my notes on her talk.

• AI is everywhere. You can use it to write content, code, create images, and more. It impacts how everyone will work.
• But ultimately, AI is just a tool but it might not always be the right one. We need to find the tasks where it has the potential to add value.
• Over 1 billion people on the planet identify as having a disability. Accessible code allows them to access digital experiences and helps companies be complaint with emerging laws requiring accessible Web pages and apps. Businesses also get SEO, brand, and more benefits from accessible code.
• AI tools like Github Copilot can find accessibility issues in seconds consistently, especially compared to the manual checks currently being done by humans. AI can also spot patterns across a codebase and suggest solutions.
• Existing AI coding tools like Github Copilot are already better than Linters for finding accessibility issues.
• AI can suggest and implement code fixes for accessibility issues. It can also be added to CI/CD pipelines to check for accessibility issues at the point of each commit. AI can also serve as an accessibility mentor for developers by providing real-time suggestions.
• More complex accessibility issues especially those that need user context may go unfound when just using AI. Sometimes AI output can be incomplete or hallucinate solutions that are not correct. As a result, we can't over rely on just AI to solve all accessibility problems. We still need human review today.
• To improve AI accessibility, provide expanded prompts that reference or include specifications. Code reviews can double check accessibility suggestions from AI-based systems. Regularly test and refine your AI-based solutions to improve outcomes.
• Combing AI and human processes and values can help build a culture of accessibility.

The feature will work for Gmail users on the web, on Android, and on iOS

BRANDED CONTENT | Produced by WIRED Brand Lab with Comcast Business | For some, the daily commute is simple. But for people with disabilities, older workers or those needing childcare friendly hours, traditional commuting can be physically prohibitive. And for those who live outside of urban areas, transit times can be extreme. What can we do to keep this talent in the workforce? Telecommuting is one solution for a more inclusive future of work.

Produced by WIRED Brand Lab with Intel | How do we make communication accessible for every kind of person? Lama Nachman, Director of Intel’s Human & AI Research Lab, has dedicated decades to bridging the technological gap between those with and without disabilities. She worked alongside Stephen Hawking to create the Assistive Context-Aware Toolkit (ACAT) which enabled him to communicate and do his work more effectively even with limited mobility due to ALS. Also making a difference at Intel is Adam Munder, co-founder of OmniBridge, a software platform that allows deaf individuals to communicate with the hearing population in real-time. Providing 24/7 access to fast, affordable ASL translation, OmniBridge is ideal for a wide range of settings and when interpreters are unavailable. In supporting Adam and Lama’s work, Intel is dedicated to furthering technologies that amplify human potential and create more equity in the world.

Monopoly could hinder Union Health Ministry’s efforts “to benefit from domestic production and competitive pricing through pooled procurement strategies”

Google Podcasts is finally getting a feature that’s already standard across most listening apps: private RSS feed support. The head of product for Google Podcasts, Zack Reneau-Wedeen, made the announcement on Twitter today and shouted out some networks that are especially reliant on private feeds, including Patreon, Slate, RedCircle, and Supercast.

To access the feature, tap over to the activity tab in the bottom right-hand corner and slide over to the Subscriptions tab, then tap the plus symbol.

It appears to fuse excellence with a non-elitist character in terms of its composition of students. This is unique, report Poornima Joshi & A Srinivas

In reading Joe Dolson’s recent piece on the intersection of AI and accessibility, I absolutely appreciated the skepticism that he has for AI in general as well as for the ways that many have been using it. In fact, I’m very skeptical of AI myself, despite my role at Microsoft as an accessibility innovation strategist who helps run the AI for Accessibility grant program. As with any tool, AI can be used in very constructive, inclusive, and accessible ways; and it can also be used in destructive, exclusive, and harmful ones. And there are a ton of uses somewhere in the mediocre middle as well.

I’d like you to consider this a “yes… and” piece to complement Joe’s post. I’m not trying to refute any of what he’s saying but rather provide some visibility to projects and opportunities where AI can make meaningful differences for people with disabilities. To be clear, I’m not saying that there aren’t real risks or pressing issues with AI that need to be addressed—there are, and we’ve needed to address them, like, yesterday—but I want to take a little time to talk about what’s possible in hopes that we’ll get there one day.

Alternative text

Joe’s piece spends a lot of time talking about computer-vision models generating alternative text. He highlights a ton of valid issues with the current state of things. And while computer-vision models continue to improve in the quality and richness of detail in their descriptions, their results aren’t great. As he rightly points out, the current state of image analysis is pretty poor—especially for certain image types—in large part because current AI systems examine images in isolation rather than within the contexts that they’re in (which is a consequence of having separate “foundation” models for text analysis and image analysis). Today’s models aren’t trained to distinguish between images that are contextually relevant (that should probably have descriptions) and those that are purely decorative (which might not need a description) either. Still, I still think there’s potential in this space.

As Joe mentions, human-in-the-loop authoring of alt text should absolutely be a thing. And if AI can pop in to offer a starting point for alt text—even if that starting point might be a prompt saying What is this BS? That’s not right at all… Let me try to offer a starting point—I think that’s a win.

Taking things a step further, if we can specifically train a model to analyze image usage in context, it could help us more quickly identify which images are likely to be decorative and which ones likely require a description. That will help reinforce which contexts call for image descriptions and it’ll improve authors’ efficiency toward making their pages more accessible.

While complex images—like graphs and charts—are challenging to describe in any sort of succinct way (even for humans), the image example shared in the GPT4 announcement points to an interesting opportunity as well. Let’s suppose that you came across a chart whose description was simply the title of the chart and the kind of visualization it was, such as: Pie chart comparing smartphone usage to feature phone usage among US households making under $30,000 a year. (That would be a pretty awful alt text for a chart since that would tend to leave many questions about the data unanswered, but then again, let’s suppose that that was the description that was in place.) If your browser knew that that image was a pie chart (because an onboard model concluded this), imagine a world where users could ask questions like these about the graphic:

• Do more people use smartphones or feature phones?
• How many more?
• Is there a group of people that don’t fall into either of these buckets?
• How many is that?

Setting aside the realities of large language model (LLM) hallucinations—where a model just makes up plausible-sounding “facts”—for a moment, the opportunity to learn more about images and data in this way could be revolutionary for blind and low-vision folks as well as for people with various forms of color blindness, cognitive disabilities, and so on. It could also be useful in educational contexts to help people who can see these charts, as is, to understand the data in the charts.

Taking things a step further: What if you could ask your browser to simplify a complex chart? What if you could ask it to isolate a single line on a line graph? What if you could ask your browser to transpose the colors of the different lines to work better for form of color blindness you have? What if you could ask it to swap colors for patterns? Given these tools’ chat-based interfaces and our existing ability to manipulate images in today’s AI tools, that seems like a possibility.

Now imagine a purpose-built model that could extract the information from that chart and convert it to another format. For example, perhaps it could turn that pie chart (or better yet, a series of pie charts) into more accessible (and useful) formats, like spreadsheets. That would be amazing!

Matching algorithms

Safiya Umoja Noble absolutely hit the nail on the head when she titled her book Algorithms of Oppression. While her book was focused on the ways that search engines reinforce racism, I think that it’s equally true that all computer models have the potential to amplify conflict, bias, and intolerance. Whether it’s Twitter always showing you the latest tweet from a bored billionaire, YouTube sending us into a Q-hole, or Instagram warping our ideas of what natural bodies look like, we know that poorly authored and maintained algorithms are incredibly harmful. A lot of this stems from a lack of diversity among the people who shape and build them. When these platforms are built with inclusively baked in, however, there’s real potential for algorithm development to help people with disabilities.

Take Mentra, for example. They are an employment network for neurodivergent people. They use an algorithm to match job seekers with potential employers based on over 75 data points. On the job-seeker side of things, it considers each candidate’s strengths, their necessary and preferred workplace accommodations, environmental sensitivities, and so on. On the employer side, it considers each work environment, communication factors related to each job, and the like. As a company run by neurodivergent folks, Mentra made the decision to flip the script when it came to typical employment sites. They use their algorithm to propose available candidates to companies, who can then connect with job seekers that they are interested in; reducing the emotional and physical labor on the job-seeker side of things.

When more people with disabilities are involved in the creation of algorithms, that can reduce the chances that these algorithms will inflict harm on their communities. That’s why diverse teams are so important.

Imagine that a social media company’s recommendation engine was tuned to analyze who you’re following and if it was tuned to prioritize follow recommendations for people who talked about similar things but who were different in some key ways from your existing sphere of influence. For example, if you were to follow a bunch of nondisabled white male academics who talk about AI, it could suggest that you follow academics who are disabled or aren’t white or aren’t male who also talk about AI. If you took its recommendations, perhaps you’d get a more holistic and nuanced understanding of what’s happening in the AI field. These same systems should also use their understanding of biases about particular communities—including, for instance, the disability community—to make sure that they aren’t recommending any of their users follow accounts that perpetuate biases against (or, worse, spewing hate toward) those groups.

Other ways that AI can helps people with disabilities

If I weren’t trying to put this together between other tasks, I’m sure that I could go on and on, providing all kinds of examples of how AI could be used to help people with disabilities, but I’m going to make this last section into a bit of a lightning round. In no particular order:

• Voice preservation. You may have seen the VALL-E paper or Apple’s Global Accessibility Awareness Day announcement or you may be familiar with the voice-preservation offerings from Microsoft, Acapela, or others. It’s possible to train an AI model to replicate your voice, which can be a tremendous boon for people who have ALS (Lou Gehrig’s disease) or motor-neuron disease or other medical conditions that can lead to an inability to talk. This is, of course, the same tech that can also be used to create audio deepfakes, so it’s something that we need to approach responsibly, but the tech has truly transformative potential.
• Voice recognition. Researchers like those in the Speech Accessibility Project are paying people with disabilities for their help in collecting recordings of people with atypical speech. As I type, they are actively recruiting people with Parkinson’s and related conditions, and they have plans to expand this to other conditions as the project progresses. This research will result in more inclusive data sets that will let more people with disabilities use voice assistants, dictation software, and voice-response services as well as control their computers and other devices more easily, using only their voice.
• Text transformation. The current generation of LLMs is quite capable of adjusting existing text content without injecting hallucinations. This is hugely empowering for people with cognitive disabilities who may benefit from text summaries or simplified versions of text or even text that’s prepped for Bionic Reading.

The importance of diverse teams and data

We need to recognize that our differences matter. Our lived experiences are influenced by the intersections of the identities that we exist in. These lived experiences—with all their complexities (and joys and pain)—are valuable inputs to the software, services, and societies that we shape. Our differences need to be represented in the data that we use to train new models, and the folks who contribute that valuable information need to be compensated for sharing it with us. Inclusive data sets yield more robust models that foster more equitable outcomes.

Want a model that doesn’t demean or patronize or objectify people with disabilities? Make sure that you have content about disabilities that’s authored by people with a range of disabilities, and make sure that that’s well represented in the training data.

Want a model that doesn’t use ableist language? You may be able to use existing data sets to build a filter that can intercept and remediate ableist language before it reaches readers. That being said, when it comes to sensitivity reading, AI models won’t be replacing human copy editors anytime soon. 

Want a coding copilot that gives you accessible recommendations from the jump? Train it on code that you know to be accessible.

I have no doubt that AI can and will harm people… today, tomorrow, and well into the future. But I also believe that we can acknowledge that and, with an eye towards accessibility (and, more broadly, inclusion), make thoughtful, considerate, and intentional changes in our approaches to AI that will reduce harm over time as well. Today, tomorrow, and well into the future.

Many thanks to Kartik Sawhney for helping me with the development of this piece, Ashley Bischoff for her invaluable editorial assistance, and, of course, Joe Dolson for the prompt.

The bench found that one of the rules of the Rights of Persons with Disabilities (RPWD) Act does not establish enforceable, compulsory standards, but rather, it relies on self-regulation through guidelines

National Bureau of Economic Research

The draft Patent (Amendment) Rules, 2023, have prompted extensive discussion and debate, drawing attention to India’s pivotal role in providing affordable medicines, especially to those in need

 Ahead of USTR’s Special 301 report, India campaigns for flexibilities in international trade laws

Experts call for ensuring patient safety while expanding access to new drugs

Sarod maestro Arnab Chakrabarty kick-starts a new series of classical music concerts that focuses on the enduring legacy of Indian classical instruments

Chris redesigned his blog, using sounds on your website to make it seem fancy, what can't automated accessibility tests test, and what's new in Safari 17.

Voiceover pays us a visit, we talk about what accessibility really means, the difficulty of closing a dialogue element, web components at work, and jQuery 4 is out.

We've got follow up on Cloudflare and Cara from last episode, a question about setting up Prettier and auto linting, a cool tool from a listener on comparing colors, a question about using tooling like Craft or more user friendly apps like Webflow when working with clients, and our takes on accessibility overlays.

The court asked the government to enable the creation of public and private spaces, services and products of an ‘universal design’ which could be accessed by everyone, regardless of their ability, age, or status

Alan Dalton uses this, the International Day of Persons with Disabilities, to look back at where we’ve come from, to evaluate where we are, and to look forward to what’s coming next in the future of accessibility guidelines.

Happy United Nations International Day of Persons with Disabilities! The United Nations have chosen “Promoting the participation of persons with disabilities and their leadership: taking action on the 2030 Development Agenda” for this year’s observance. Let’s see how the World Wide Web Consortium (W3C)’s Web Accessibility Initiative (WAI) guidelines of accessibility past, present, and yet-to-come can help us to follow that goal, and make sure that the websites—and everything else!—that we create can include as many potential users as possible.

Guidelines of Accessibility Past

The W3C published the Web Content Accessibility Guidelines (WCAG) 1.0 on 5th May 1999, when most of us were playing Snake on our Nokia 3210s’ 1.5” monochrome screens…a very long time ago in technology terms. From the start, those guidelines proved enlightening for designers and developers who wanted to avoid excluding users from their websites. For example, we learned how to provide alternatives to audio and images, how to structure information, and how to help users to find the information they needed. However, those guidelines were specific to the web technologies of the time, resulting in limitations such as requiring developers to “use W3C technologies when they are available […]”. Also, those guidelines became outdated; I doubt that you, gentle reader, consult their technical documentation about “directly accessible applets” or “Writing for browsers that do not support FRAME” in your day-to-day work.

Guidelines of Accessibility Present

The W3C published the Web Content Accessibility Guidelines (WCAG) 2.0 on 11th December 2008, when most of us were admiring the iPhone 3G’s innovative “iPhone OS 2.0” software…a long time ago in technology terms. Unlike WCAG 1, these guidelines also applied to non-W3C technologies, such as PDF and Flash. These guidelines used legalese and future-proofed language, with terms such as “time-based media” and “programmatically determined”, and testable success criteria. This made these guidelines more difficult for designers and developers to grasp, but also enabled the guidelines to make their way into international standards (see EN 301 549 — Accessibility requirements suitable for public procurement of ICT products and services in Europe and ISO/IEC 40500:2012 Information technology — W3C Web Content Accessibility Guidelines (WCAG) 2.0) and even international law (see EU Directive 2016/2102 … on the accessibility of the websites and mobile applications of public sector bodies).

More importantly, these guidelines enabled designers and developers to create inclusive websites, at scale. For example, in the past 18 months:

• Intercom made their web Messenger accessible, achieving Level-AA conformance;
• Vimeo made accessibility updates to their video player to achieve Level-AA conformance;
• Stripe designed a new accessible colour system to conform with success criterion 1.4.3 (“Contrast (Minimum)”).

The updated Web Content Accessibility Guidelines (WCAG) 2.1 arrived on 5th June last year—almost a 10-year wait for a “.1” update!—and added 17 new success criteria to help bring the guidelines up to date. Those new criteria focused on people using mobile devices and touchscreens, people with low vision, and people with cognitive and learning disabilities.

(If you need to get up to speed with these guidelines, take 36 minutes to read “Web Content Accessibility Guidelines—for People Who Haven’t Read Them” and Web Content Accessibility Guidelines 2.1—for People Who Haven’t Read the Update.)

Guidelines of Accessibility Yet to Come

So, what’s next? Well, the W3C hope to release another minor update (WCAG 2.2) in November 2020. However, they also have a Task Force working on produce major new guidelines with wider scope (more people, more technologies) and fewer limitations (easier to understand, easier to use) in November 2022. These next guidelines will have a different name, because they will cover more than “Web” and “Content”. Andrew Kirkpatrick (Adobe’s Head of Accessibility) named the Task Force “Silver” (because the initials of “Accessibility Guidelines” form the symbol of the silver element).

The Silver Task Force want the next major accessibility guidelines to:

• take account of more disabilities;
• apply to more technologies than just the web, including virtual reality, augmented reality, voice assistants, and more;
• consider all the technologies that people use, including authoring tools, browsers, media players, assistive technologies (including screen readers and screen magnifiers), application software, and operating systems.

That’s quite a challenge, and so the more people who can help, the better. The Silver Task Force wanted an alternative to W3C’s Working Groups, which are made up of employees of organisations who are members of the W3C, and invited experts. So, they created a Silver Community Group to allow everyone to contribute towards this crucial work. If you want to join right now, for free, just create a W3C account.

Like all good designers, the Silver Task Force and Silver Community Group began by researching. They examined the problems that people have had when using, conforming to, and maintaining the existing accessibility guidelines, and then summarised that research. From there, the Silver Community Group drafted ambitious design principles and requirements. You can read about what the Silver Community Group are currently working on, and decide whether you would like to get involved now, or at a later stage.

Emphasise expertise over empathy

Remember that today’s theme is “Promoting the participation of persons with disabilities and their leadership: taking action on the 2030 Development Agenda”. (The United Nations’ 2030 Development Agenda is outside the scope of this article, but if you’re looking to be inspired, read Alessia Aquaro’s article on Public Digital’s blog about how digital government can contribute to the UN’s Sustainable Development Goals.) In line with this theme, if you don’t have a disability and you want to contribute to the Silver Community Group, resist the temptation to try to empathise with people with disabilities. Instead, take 21 minutes during this festive season to enjoy the brilliant Liz Jackson explaining how empathy reifies disability stigmas, and follow her advice.

Choose the right route

I think we can expect the next Accessibility Guidelines to make their way into international standards and international law, just like their predecessors. We can also expect successful companies to apply them at scale. If you contribute to developing those guidelines, you can help to make sure that as many people as possible will be able to access digital information and services, in an era when that access will be crucial to every aspect of people’s lives. As Cennydd Bowles explained in “Building Better Worlds”, “There is no such thing as the future. There are instead a near-infinity of potential futures. The road as-yet-untravelled stretches before us in abundant directions. We get to choose the route. There is no fate but what we make.”

About the author

Alan Dalton worked for Ireland’s National Disability Authority for 9½ years, mostly as Accessibility Development Advisor. That involved working closely with public sector bodies to make websites, services, and information more accessible to all users, including users with disabilities. Before that, he was a consultant and trainer for Software Paths Ltd. in Dublin. In his spare time, he maintains StrongPasswordGenerator.com to help people stay safe online, tweets, and takes photos.

More articles by Alan

Amy Hupe prepares a four bird roast of tasty treats so we can learn how the needs of many different types of users can be served through careful implementation of components within a design system.

Design systems help us to make our products consistent, and to make sure we’re creating them in the most efficient way possible. They also help us to ensure our products are designed and built to a high quality; that they’re not only consistent in appearance, and efficiently-built, but that they are good. And good design means accessible design.

1 in 5 people in the UK have a long term illness, impairment or disability – and many more have a temporary disability. Designing accessible services is incredibly important from an ethical, reputational and commercial standpoint. For EU government websites and apps, accessibility is also a legal requirement.

With that in mind, I’ll explain the four main ways I think we can use design systems to promote accessible design within an organisation, and what design systems can’t do.

1. Bake it in

Design systems typically provide guidance and examples to aid the design process, showing what best practice looks like. Many design systems also encompass code that teams can use to take these elements into production. This gives us an opportunity to build good design into the foundations of our products, not just in terms of how they look, but also how they work. For everyone.

Let me give an example.

The GOV.UK Design System contains a component called the Summary list. It’s used in a few different contexts on GOV.UK, to summarise information. It’s often used at the end of a long or complex form, to let users check their answers before they send them, like this:

Users can review the information and, if they’ve entered something incorrectly, they can go back and edit their answer by clicking the “Change” link on the right-hand side. This works well if you can see the change link, because you can see which information it corresponds to.

In the top row, for example, I can see that the link is giving me the option to change the name I’ve entered because I can see the name label, and the name I put in is next to it.

However, if you’re using a screen reader, this link – and all the others – will just say “change”, and it becomes harder to tell what you’re selecting. So to help with this, the GOV.UK Design System team added some visually-hidden text to the code in the example, to make the link more descriptive.

Sighted users won’t see this text, but when a screen reader reads out the link, it’ll say “change name”. This makes the component more accessible, and helps it to satisfy a Web Content Accessibility Guidelines (WCAG 2.1) success criterion for links which says we must “provide link text that identifies the purpose of the link without needing additional context”.

By building our components with inclusion in mind, we can make it easier to make products accessible, before anyone’s even had to think about it. And that’s a great starting point. But that doesn’t mean we don’t have to think about it – we definitely do. And a design system can help with that too.

2. Explain it

Having worked as the GOV.UK Design System’s content designer for the best part of 3 years, I’m somewhat biased about this, but I think that the most valuable aspect of a design system is its documentation.

(Here’s a shameless plug for my patterns Day talk on design system documentation earlier this year, if you want to know more about that.)

When it comes to accessibility, written documentation lets us guide good practice in a way that code and examples alone can’t.

By carefully documenting implementation rules for each component, we have an opportunity to distribute accessible design principles throughout a design system. This means design system users encounter them not just once, but repeatedly and frequently, in various contexts, which helps to build awareness over time.

For instance, WCAG 2.1 warns against using colour as “the only visual means of conveying information, calling an action, prompting a response or distinguishing a visual element”. This is a general principle to follow, but design system documentation lets us explain how this relates to specific components.

Take the GOV.UK Design System’s warning buttons. These are used for actions with serious, often destructive consequences that can’t easily be undone – like permanently deleting an account.

The example doesn’t tell you this, but the guidance explains that you shouldn’t rely on the red colour of warning buttons to communicate that the button performs a serious action, since not all users will be able to see the colour or understand what it signifies.

Instead, it says, “make sure the context and button text makes clear what will happen if the user selects it”. In this way, the colour is used as an enhancement for people who can interpret it, but it’s not necessary in order to understand it.

Making the code in our examples and component packages as accessible as possible by default is really important, but written documentation like this lets us be much more explicit about how to design accessible services.

3. Lead by example

In our design systems’ documentation, we’re telling people what good design looks like, so it’s really important that we practice what we preach.

Design systems are usually for members of staff, rather than members of the public. But if we want to build an inclusive workplace, we need to hold them to the same standards and ensure they’re accessible to everyone who might need to use them – today and in the future.

One of the ways we did this in my team, was by making sure the GOV.UK Design System supports users who need to customise the colours they use to browse the web. There are a range of different user needs for changing colours on the web. People who are sensitive to light, for instance, might find a white background too bright. And some users with dyslexia find certain colours easier to read than others.

My colleague, Nick Colley, wrote about the work we did to ensure GOV.UK Design System’s components will work when users change colours on GOV.UK. To ensure we weren’t introducing barriers to our colleagues, we also made it possible to customise colours in the GOV.UK Design System website itself.

Building this flexibility into our design system helps to support our colleagues who need it, but it also shows others that we’re committed to inclusion and removing barriers.

4. Teach it

The examples I’ve drawn on here have mostly focused on design system documentation and tooling, but design systems are much bigger than that. In the fortuitously-timed “There is No Design System”, Jina reminds us that tooling is just one of the ways we systematise design:

…it’s a lot of people-focused work: Reviewing. Advising. Organizing. Coordinating. Triaging. Educating. Supporting.”

To make a design system successful, we can’t just build a set of components and hope they work. We have to actively help people find it, use it and contribute to it. That means we have to go out and talk about it. We have to support people in learning to use it and help new teams adopt it. These engagement activities and collaborative processes that sit around it can help to promote awareness of the why, not just the what.

At GDS, we ran workshops on accessibility in the design system, getting people to browse various web pages using visual impairment simulation glasses to understand how visually impaired users might experience our content. By working closely with our systems’ users and contributors like this, we have an opportunity to bring them along on the journey of making something accessible.

We can help them to test out their code and content and understand how they’ll work on different platforms, and how they might need to be adjusted to make sure they’re accessible. We can teach them what accessibility means in practice.

These kinds of activities are invaluable in helping to promote accessible design thinking. And these kinds of lessons – when taught well – are disseminated as colleagues share knowledge with their teams, departments and the wider industry.

What design systems can’t do

Our industry’s excitement about design systems shows no signs of abating, and I’m excited about the opportunities it affords us to make accessible design the default, not an edge case. But I want to finish on a word about their limitations.

While a design system can help to promote awareness of the need to be accessible, and how to design products and services that are, a design system can’t make an organisation fundamentally care about accessibility.

Even with the help of a thoughtfully created design system, it’s still possible to make really inaccessible products if you’re not actively working to remove barriers. I feel lucky to have worked somewhere that prioritises accessibility. Thanks to the work of some really brilliant people, it’s just part of the fabric at GDS. (For more on that work and those brilliant people, I can’t think of a better place to start than my colleague Ollie Byford’s talk on inclusive forms.)

I’m far from being an accessibility expert, but I can write about this because I’ve worked in an organisation where it’s always a central consideration. This shouldn’t be something to feel lucky about. It should be the default, but sadly we’re not there yet. Not even close.

Earlier this year, Domino’s pizza was successfully sued by a blind customer after he was unable to order food on their website or mobile app, despite using screen-reading software. And in a recent study carried out by disability equality charity, Scope, 50% of respondents said that they had given up on buying a product because the website, app or in-store machine had accessibility issues.

Legally, reputationally and most importantly, morally, we all have a duty to do better. To make sure our products and services are accessible to everyone. We can use design systems to help us on that journey, but they’re just one part of our toolkit.

In the end, it’s about committing to the cause – doing the work to make things accessible. Because accessible design is good design.

About the author

Amy is a content specialist and design systems advocate who’s spent the last 3 years working as a Senior Content Designer at the Government Digital Service.

In that time, she’s led the content strategy for the GOV.UK Design System, including a straightforward and inclusive approach to documentation.

In January, Amy will continue her work in this space, in her new role as Product Manager for Babylon Health’s design system, DNA.

More articles by Amy

The new line of belts and bags are made from a plant-based, plastic-free material called Mirum

Montreal : National Film Board of Canada, 2019