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Study finds gender and skin-type bias in commercial artificial-intelligence systems
Study finds gender and skin-type bias in commercial artificial-intelligence systems
A new paper from the MIT Media Lab’s Joy Buolamwini shows that three commercial facial-analysis programs demonstrate gender and skin-type biases, and suggests a new, more accurate method for evaluating the performance of such machine-learning systems.
·news.mit.edu·
Study finds gender and skin-type bias in commercial artificial-intelligence systems
Service user involvement in maternity and perinatal mental health research
Service user involvement in maternity and perinatal mental health research
Agnes Agyepong, parent engagement programme manager at Best Beginnings and Guy's and St Thomas' NHS Foundation Trust Maternity Voices Partnership Chair discusses why Black women are not engaging in research and what can be done to change this?
·arc-sl.nihr.ac.uk·
Service user involvement in maternity and perinatal mental health research
Boris Johnson's race commission 'to scrap use of BAME label'
The Importance of Intersectional Analysis
The Importance of Intersectional Analysis
Gender equality can seem like one big homogeneous bowl of intentions demonstrating that we care about women. A better structure for change centers on the perspective, needs and experience of Black women. Today’s common trickle-down approach is not working; a “trickle up” or “follow up” paradigm would be more effective.
·up.raindrop.io·
The Importance of Intersectional Analysis
BAME and Mental Health
BAME and Mental Health
In England and Wales, nearly a fifth of people come from a BAME (Black, Asian and minority ethnic) background. The mental health of BAME communities is important because people from these communities often face individual and societal challenges that can affect access to healthcare and overall mental and physical health.
·mentalhealth.org.uk·
BAME and Mental Health
Black African migrants: the barriers with accessing and utilizing health promotion services in the UK
Black African migrants: the barriers with accessing and utilizing health promotion services in the UK
The inequalities for different ethnicities and social classes in accessing health services is well documented, but although a number of recent policy developments have aimed to tackle health inequalities, very little is known about the experiences of Black African migrant communities in accessing health promotion information and services. The aim of the study were to examine the experiences of Black African migrant families in accessing health promotion services.
·academic.oup.com·
Black African migrants: the barriers with accessing and utilizing health promotion services in the UK
'Self-deprecating' black Tiktokker agency challenges prejudices in Italy
'Self-deprecating' black Tiktokker agency challenges prejudices in Italy
Social media influencers of African origin have banded together, using ‘fun activism’ to make their voice heard. “Things have got better, but still today it is difficult to find work, as prejudices still exist. But we don’t want to play the victims of racism – we are self-deprecating, and the idea is to try to bring about change.”
·theguardian.com·
'Self-deprecating' black Tiktokker agency challenges prejudices in Italy
The Shuri Network Achievements Summary 2020
The Shuri Network Achievements Summary 2020
How many times have you seen an all-female and black and ethnic minority (BME) panel talking about technology? For many people their first time would have been the Shuri Network launch last July. The Shuri Network was launched in 2019 to support women of colour in NHS digital health develop the skills and confidence to progress into senior leadership positions and help NHS leadership teams more closely represent the diversity of their workforce.
·up.raindrop.io·
The Shuri Network Achievements Summary 2020
Artificial Intelligence in Hiring: Assessing Impacts on Equality
Artificial Intelligence in Hiring: Assessing Impacts on Equality
The use of artificial intelligence (AI) presents risks to equality, potentially embedding bias and discrimination. Auditing tools are often promised as a solution. However our new research, which examines tools for auditing AI used in recruitment, finds these tools are often inadequate in ensuring compliance with UK Equality Law, good governance and best practice. We argue in this report that a more comprehensive approach than technical auditing is needed to safeguard equality in the use of AI for hiring, which shapes access to work. Here, we present first steps which could be taken to achieve this. We also publish a prototype AI Equality Impact Assessment which we plan to develop and pilot.
·up.raindrop.io·
Artificial Intelligence in Hiring: Assessing Impacts on Equality
How Data Can Map and Make Racial Inequality More Visible (If Done Responsibly) | by The GovLab | Data Stewards Network | Medium
How Data Can Map and Make Racial Inequality More Visible (If Done Responsibly) | by The GovLab | Data Stewards Network | Medium
Racism is a systemic issue that pervades every aspect of life in the United States and around the world. In recent months, its corrosive…
·medium.com·
How Data Can Map and Make Racial Inequality More Visible (If Done Responsibly) | by The GovLab | Data Stewards Network | Medium
The Dark Side of Digitisation and the Dangers of Algorithmic Decision-Making - Abeba Birhane
The Dark Side of Digitisation and the Dangers of Algorithmic Decision-Making - Abeba Birhane
As we hand over decision-making regarding social issues to automated systems developed by profit-driven corporates, not only are we allowing our social concerns to be dictated by the profit incentive, but we are also handing over moral and ethical questions to the corporate world, argues ABEBA BIRHANE
·theelephant.info·
The Dark Side of Digitisation and the Dangers of Algorithmic Decision-Making - Abeba Birhane
Between Antidiscrimination and Data: Understanding Human Rights Discourse on Automated Discrimination in Europe
Between Antidiscrimination and Data: Understanding Human Rights Discourse on Automated Discrimination in Europe
Automated decision making threatens to disproportionately impact society’s most vulnerable communities living at the intersection of economic and social marginalization. The report discusses
tgyateng69·eprints.lse.ac.uk·
Between Antidiscrimination and Data: Understanding Human Rights Discourse on Automated Discrimination in Europe