WOMEN4AI CALL TO ACTION 2022
This call to action invites organisations to commit to implement inclusive AI, whether that means embarking on first steps, accelerating existing initiatives or scaling best practices.
PREAMBLE
This call to action invites organisations to commit to implement inclusive AI, whether that means embarking on first steps, accelerating existing initiatives or scaling best practices. To create inclusive technology, fundamental transformation is needed: this includes supportive governance frameworks and structural shifts, but small steps are a good way to start this journey.
Actions of all sizes to tackle bias and embed inclusive practices will close gaps, bringing the world closer to an inclusive AI ecosystem. As such, organisations can contribute to systemic change in the broader ecosystem through internal transformation.
As AI reflects human behaviour, it is essential to tackle bias not just in AI but also in society to create truly sustainable inclusion.
We define inclusive AI as a subfield of ethical AI which accounts for needs of different groups, including minorities, marginalised and underrepresented groups.
The application of inclusive AI addresses the issue of bias and discrimination with the aim of reducing inequalities, including representation, accessibility and interpretability. Inclusive AI is non-discriminatory in its production, unbiased in its consequences, and accessible to all.
VISION STATEMENT
When AI is developed and deployed in an inclusive manner, it will drive better outcomes for women and the world.
Our vision statement can be achieved through the following commitments, which are divided into 3 themes.
OUR COMMITMENTS
We ask organisations to choose 2 commitments at a minimum; these can be selected from the same theme, or from different themes.
1.Strengthen your organisation’s pipeline and practices
- We commit to fostering a supportive ecosystem for women and other marginalised people, including racial and ethnic minorities in tech roles through targeted policies within our governance structures.
- We commit to providing training and capacity building programmes to mainstream inclusive AI adoption within our organisation.
2.Build sound data foundations
- We commit to using relevant approaches to identify and flag incomplete or unrepresentative data and to mitigate bias within our AI datasets and development programmes.
3.Engage with your suppliers
- We commit to using relevant approaches to identify and flag incomplete or unrepresentative data and to mitigate bias within our AI datasets and development programmes.
- We commit to implementing a capacity building programme to raise awareness, share knowledge and best practices with suppliers on identifying and avoiding non-Inclusive AI.
Overall targets:
We ask organisations to commit to one target from the following targets:
- We will share examples of good practices or case-studies that show progress towards Inclusive AI.
- We will complete and share an Algorithmic Impact Assessment by November 2023.
- Additional resources: W4AI Impact Assessment Tool in the Inclusive AI Toolkit.
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Categories
INCLUSIVE ARTIFICIAL INTELLIGENCE: A LEGAL PERSPECTIVE
The use of artificial intelligence offers great business opportunities, but also triggers significant risks, such as unintentionally embedding biases in the decision-making process, as well as breaches of privacy, labour, and human rights.
HEY SIRI: WHY DOES ARTIFICIAL INTELLIGENCE WORK BETTER FOR WHITE MEN?
So what are the strategies that leaders within organizations and businesses can take to leverage language for inclusion and equity in and through AI systems?
THE IMPORTANCE OF YOUNGER GENERATIONS IN INCLUSIVE AI
Finance is at the heart of the economy, and the opportunities that digitisation and AI provide will help to make finance much more accessible to all and simpler for everyone.
THE AI CHAPTER OF DISABILITY EMPLOYMENT
What role can AI have in bridging the disability divide to increase disability employment?
WHAT IS INCLUSIVE AI? A PERSPECTIVE FROM THE WOMEN’S FORUM
Right now, discussion about the need to reduce bias in technology is everywhere. The question now should not be only about how we can reduce bias, but how we can actively make AI inclusive.
BUILDING INCLUSIVE AI: HOW CAN ORGANISATIONS TAKE ACTION?
As the world transitions to a more just and sustainable economy, technology is a key lever of change. Artificial Intelligence (AI) stands at the forefront of this transformation.
WHEN GOOD ALGORITHMS GO SEXIST: WHY AND HOW TO ADVANCE AI GENDER EQUITY
Many institutions make decisions based on artificial intelligence (AI) systems using machine learning (ML), whereby a series of algorithms takes and learns from massive amounts of data to find patterns and make predictions. Yet gender bias in these systems is pervasive.
THE IMPORTANCE OF AN INCLUSIVE AI DURING THESE UNPREDICTABLE TIMES
A better representation of women and diverse mindsets in the development and deployment of AI would reduce the gender stereotypes and the negative consequences they lead to. If that is not the case, evidence suggests that by 2022, 85% of AI projects will deliver erroneous outcomes due to bias.
GINA NEFF, SENIOR RESEARCH FELLOW & ASSOCIATE PROFESSOR, OXFORD INTERNET INSTITUTE & THE DEPARTMENT OF SOCIOLOGY AT THE UNIVERSITY OF OXFORD
Professor Gina Neff is a Senior Research Fellow and Associate Professor at the Oxford Internet Institute and the Department of Sociology at the University of Oxford.
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