Category Archives: Digital Inclusion

How to move diversity, inclusion and equity forwards three articles at the time

I feel I’ve been neglicting the readers of my blog, that is, YOU, this year.

On the bright side, I have continued to embed diversity, equity, and inclusion in organisations, technology, and workplaces through opinion articles and fiction.

I’m delighted to share with you that my writing has been featured in three magazines in the last three months.

Artificial Intelligence and the Global South

Scattered white plastic figures resembling humans sitting at tables in front of laptops. The white background makes their environment look bleak.
Max Gruber / Better Images of AI / Clickworker Abyss / Licenced by CC-BY 4.0

In September, the economics e-magazine The Mint published my article How artificial intelligence is recolonising the Global South.

In the 5-min piece, I discuss how the Global North exploits poverty and weak laws in the South to accelerate its digital transformation.

Have you ever asked yourself:

  • Who moderates our social media?
  • Who annotates the images for our self-driving cars?
  • Who extracts the metals needed for our smartphones?
  • In which populations AI algorithms are tested?

Being accountable for the books we read

A computer-generated photographic style image showing piles of distorted books with some surreal landscape features in the immediate foreground, such as a kind of beach and games board. The books merge into each other in an impressionistic, digitally blurred way, and rising out of them and taking up the main part of the image is a huge undefined concrete structure topped with more books and folders that get bigger as they go up.
jbustterr / Better Images of AI / A monument surrounded by piles of books / Licenced by CC-BY 4.0

In October, Certain Age Magazine published The DEI Booklist: Five books to think and act differently, where I reflect on the fact that whom we read matters as much as what we read.

In the article, I review 5 books:

  • Rage Becomes Her: The Power of Women’s Anger by Soraya Chemaly
  • Care Work: Dreaming Disability Justice by Leah Lakshmi Piepzna-Samarasinha
  • Data Feminism by Catherine D’Ignazio and Lauren F. Klein
  • Whipping Girl: A Transsexual Woman on Sexism and the Scapegoating of Femininity by Julia Serano
  • Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence by Kate Crawford

I also share how I overcame the inertia of only reading books written by White, able, American, heterosexual cis-men.

Scoop: It took two years!

Using short fiction to get people talking about emerging technology

Black and white photographs  of the faces of White people scattered across a white background and grouped by similarity.
Philipp Schmitt & AT&T Laboratories Cambridge / Better Images of AI / Data flock (faces) / Licenced by CC-BY 4.0

Last week, the Medium magazine The Lark published my second short fictional story, The Life of Data Podcast. As in the previous one – The GraduationI’ve used future fiction to question the interplay between humans and technology, specifically AI.

Have you ever thought what happens to your photos circulating on social media? That’s what I did in this 10-min short fictional story.

In a nutshell, I imagined what the data from the digital portrait of a Black schoolgirl woud share about how it moves inside our phones, computers, and networks if it was invited to speak on a podcast.

How does the story resonate with you?

And the cherry on the cake

In August 2022, I was featured in the Computer Weekly 2022 longlist of the most influential women in UK tech.

Each year, Computer Weekly publishes the longlist of all of the women put forward to be considered for its list of the top 50 Most Influential Women in UK Tech.

And I was nominated!

Looking at the names of the other 600 women in the UK that were nominated as well was such a boost of energy! Among them, I’ve found great role models, IT leaders, community builders, and amazing raising stars.

One thing that I love in the list is that not only women in software development were nominated, dispelling the myth that tech is only about coding. Tech is so much more! Women investors, CEOs, COOs, non-tech founders…

If you’re unsure if there is a place for you in tech, please have a look at the list and get inspired. We’re waiting for you!


As I mentioned on a previous post, I’m writing a book and I need your help!

I’d be immensely grateful if you could complete and/or share with your network of women in tech this short survey about your/their experiences at work.

What do I mean by “Women in Tech”? Women working in any function (R&D, HR, services, finance, CXO) in the tech sector (software, hardware…) or in tech-related functions in other sectors (e.g. IT, cybersecurity…).

Whilst the survey is anonymous, you’ll have the option to get involved in the project before submitting the form. Thanks for your support!


Inclusion is a practice, not a certificate!

Library of missing datasets: Are you being digitally excluded?

A file cabinet with four drawers, one of them is opened and empty. At the right of the file cabinet, there is the sentence “whose data are we missing?” with an arrow pointing to the empty drawer.
Image by OpenClipart-Vectors from Pixabay  adapted by Patricia Gestoso.

(7 min read)

Data protection and privacy regulations like GDPR, the pervasiveness of social media, and the boom of artificial intelligence have prompted debates among academic, governmental, commercial, and non-profit organisations about our rights to own our data and how that data is used to sell us stuff and surveil us. These discussions often forget whose and which data are we missing.

My research on the effect of covid-19 on the unpaid work of professional women made me painfully aware of the gap between intent and impact when we talk about collecting data. The dataset that constitutes the basis of the report came from 1,300+ responses from mostly White women to a survey. We had relied on snowballing – our network – to get more women to answer the survey. Unsurprisingly, our network looked like us!

This mishap prompted my interest in the harms of missing or incomplete datasets – both in general and in the case of children.

Recently, a found somebody that has made a great job at using art to bring awareness to the topic of missing datasets.

The Library of Missing Datasets

Mimi Ọnụọha is a Nigerian-American artist and researcher whose work highlights the social relationships and power dynamics behind data collection.

She has created a Library of Missing Datasets. In her words

“Missing data sets” are my term for the blank spots that exist in spaces that are otherwise data-saturated. My interest in them stems from the observation that within many spaces where large amounts of data are collected, there are often empty spaces where no data live. Unsurprisingly, this lack of data typically correlates with issues affecting those who are most vulnerable in that context.

Mimi Onuoha

Why should we care? Onuoha believes that “what we ignore reveals more than what we give our attention to. It’s in these things that we find cultural and colloquial hints of what is deemed important. Spots that we’ve left blank to reveal our hidden social biases and indifferences.”

She compiles a list of missing or incomplete datasets. Some examples are:

  • People excluded from public housing because of criminal records.
  • Trans people killed or injured in instances of hate crime (note: existing records are notably unreliable or incomplete).
  • Poverty and employment statistics that include people who are behind bars.
  • Muslim mosques/communities surveilled by the FBI/CIA.
  • Mobility for older adults with physical disabilities or cognitive impairments.
  • Undocumented immigrants currently incarcerated and/or underpaid.
  • Firm statistics on how often police arrest women for making false rape reports.

Onuoha has created a version 2.0, where she focused on blackness. She says “Black folks are both over-collected and under-represented in American datasets, featuring strongly as objects of collection but rarely as subjects with agency over collection, ownership, and power.

I found very thought-provoking the images of the file cabinets with the drawers open showing the tagged empty folders. You can check them yourself the initial project and the 2.0 version.

Some of the datasets I’m missing or existing records are incomplete

  • Women that have not been promoted in spite of having all the requirements because of bias.
  • Disabled people that have been discriminated against by hiring algorithms.
  • People that have unfairly been denied work permits and residence visas.
  • Children with long covid.
  • LBTQ+ people that fear coming out because of backlash.
  • People in Venezuela that have endured “express” kidnapping.

Back to you

  • Which datasets are you missing?
  • Which datasets are missing you?

Before I go

For reflection

Diversity is not the magic bullet to fix inequity. For those still doubting it, in this edition of The Flock with Jennifer Crichton newsletter, Gemma Doswell reflects on the relative broad gender and ethnic diversity of the candidates for the Tory leadership in the UK and how we assume that it automatically should translate into advocacy for their visible identities.

A boost of energy

Mastercard now links all employee bonuses to ESG goals!

In 2021, the company introduced a compensation model for executives tied to three main Environmental, Social and Corporate Governance priorities: carbon neutrality, financial inclusion, and gender pay parity. This year they have rolled the scheme out to all employees globally.

News from me

Early this year, I went to Edinburgh to deliver a workshop at the Scottish AI Summit called Goodbye shiny robots & glowing brains: Why Better Images of AI matter. This is in the context of my work as Head of Diversity, Equity, and Inclusion at We and AI and my participation in the Better Images of AI project.

The workshop was delivered both in-person and online with Tania Duarte, Co-Founder and CEO of We and AI, and Tristan Ferne, executive producer at BBC Research & Development. You can watch it on the summit’s website.

Do you prefer a podcast? You can listen to Tania and me discussing with Steph Wright why better images of AI matter and the reasons we need trustworthy, ethical, and inclusive AI on this episode of Scotland’s AI Strategy podcast, Turing’s Triple Helix.


As I mentioned on a previous post, I’m writing a book and I need your help!

[ASK] I’d be immensely grateful if you could complete and/or share with your network of women in tech this short survey about your/their experiences at work.

What do I mean by “Women in Tech”? Women working in any function (R&D, HR, services, finance, CXO) in the tech sector (software, hardware…) or in tech-related functions in other sectors (e.g. IT, cybersecurity…).

Whilst the survey is anonymous, you’ll have the option to get involved in the project before submitting the form. Thanks for your support!


Inclusion is a practice, not a certificate!

Four ways we ignore children when discussing digital inclusion

Two teenage girls portrayed against a wall with multiple surveillance cameras pointing at them. The girls look at the cameras back. Image by StockSnap from Pixabay

(5 min read)

Children are an afterthought in our digital inclusion plans.

We talk about the importance of embedding diversity, inclusion, and ethics in technology as a prerequisite for a digital future that works for everybody. The conversation is framed in the context of identities – gender, ethnicity, sexual preferences, culture. However, we have forgotten children. I’m talking about children’s data privacy and their vulnerability to tech tools, especially those powered by artificial intelligence (AI).

In this article, I share four areas where we’re letting children down and how the power of framing data as money can help us to proactively include them.

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