Human Rights
The promotion and protection of human rights must be a cornerstone of the responsible governance of AI. We commit to ensure that AI systems are human-centric and do not infringe on Universal Human Rights, for instance, the right to privacy or freedom of expression.
Human Rights
B-Tech Project - OHCHR
The B-Tech Project, initiated by the UN Office of the High Commissioner for Human Rights (OHCHR), provides guidance for implementing the United Nations Guiding Principles on Business and Human Rights (UNGPs) in the technology sector. Launched in 2019, it focuses on four areas: addressing human rights risks in business models, human rights due diligence, accountability and remedy, and regulatory responses to digital technology challenges. The project includes a Generative AI initiative, engages globally with a specific focus on Africa, and utilizes a multistakeholder approach to produce tools and resources aimed at promoting responsible business conduct in technology.
Human Rights
Ethics of AI - UNESCO
Adopted by all 193 UNESCO Member States in November 2021, the Recommendation on the Ethics of AI represents the only existing global standard addressing the many challenges that AI may trigger. It establishes a comprehensive framework, based on human-centered principles and values, and details concrete actions in a wide array of policy fields, including gender.
Gender Equality
AI technologies should be designed to promote gender equality, avoiding biases that perpetuate or exacerbate gender disparities. Gender-responsive AI governance ensures equal opportunities and benefits for all.
Gender equality
Google’s Women Techmakers
Women Techmakers is a global initiative launched by Google to enhance visibility, foster community, and provide resources for women in technology. The program is dedicated to supporting and encouraging women in the tech industry through access to educational workshops, mentorship, networking events, and leadership development opportunities.
Gender equality
Gender Equitable AI Toolkit (NetHope)
The Gender Equitable AI Toolkit, created by NetHope, aims to promote gender equity in AI development for nonprofits. It provides practical guidance through principles, case studies, and actionable steps using the IDEA (Imagine, Dream, Execute, Assess) Journey methodology. This human-centered approach ensures that AI solutions consider the needs of women and girls. The toolkit is available as an e-learning course and a downloadable PDF, supporting nonprofit professionals in developing or reviewing AI projects.
Inclusion
The development, deployment and use of AI must be inclusive, focusing on women and girls, children and youth, as well as older persons, persons with disabilities, migrants, indigenous peoples, persons in vulnerable situations and those in underserved, rural and remote areas.
Inclusion
AI Fairness 360
AI Fairness 360 is an open-source toolkit designed to help users "examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle." Developed as an LF AI incubation project, it aims to translate algorithmic research into practical applications across various domains including finance, human capital management, healthcare, and education.Key features of AI Fairness 360 include:
10 state-of-the-art bias mitigation algorithms
Over 70 fairness metrics to quantify individual and group fairness
Industrial applications with tutorials demonstrating real-world use cases
The toolkit is available in both Python and R, and was moved to LF AI by IBM in July 2020.
Inclusion
Google: AI for Social Good
Google’s AI for Social Good initiative demonstrates how AI can be a force for positive change. By tackling global challenges like healthcare and environmental sustainability, this program shows the potential of AI to address some of the world’s most pressing issues in collaboration with partners across various sectors
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Inclusion
AI4ALL
AI4ALL is all about diversity and inclusion in AI. This nonprofit empowers underrepresented groups to get involved in AI through education and mentorship. By supporting the next generation of AI leaders, AI4ALL ensures that the future of AI is shaped by a wide range of voices and perspectives.
Inclusion
eHealth Africa
eHealth Africa was founded in 2009 with a simple idea: that communities in developing countries could have better healthcare when providers are able to make data-driven decisions. eHealth Africa’s mission is to build stronger health systems through the design and implementation of data-driven solutions that respond to local needs and provide underserved communities with tools to lead healthier lives.
Inclusion
SKAI
SKAI’s groundbreaking solution represents the future of disaster response and humanitarian aid. Developed by the World Food Programme (WFP) in collaboration with Google Research, SKAI is revolutionizing the way we tackle world hunger and respond to emergencies. SKAI uses artificial intelligence (AI) and satellite imagery to enable real-time insights and actionable intelligence for effective decision-making during disaster response. By fusing cutting-edge machine learning algorithms and vast satellite data, SKAI empowers organizations to make data-driven decisions with unprecedented precision and speed. From rapid building damage assessment to situational awareness and resource allocation, SKAI is redefining the way we respond to crises.
Inclusion
Digital Engine for Emergency Photo-analysis (DEEP)
The World Food Programme (WFP) uses machine learning to boost the speed and accuracy of post-disaster assessments and mapping and get more targeted assistance to the people who need it most. WFP developed a Digital Engine for Emergency Photo-analysis (DEEP), which uses machine learning to turn that bird’s eye view into actionable information for response teams. DEEP can cut post-disaster assessments from weeks to less than an hour, with 85 percent accuracy in pinpointing damaged buildings. It can be installed on any laptop with a decent video card, be run offline and be equally effective when applied to satellite images.
Inclusion
Abundant Intelligences
Abundant Intelligences is an Indigenous-led research program exploring how Indigenous Knowledges and Systems can expand and transform AI. Bringing together communities, researchers, and labs from across the Indigenous world to create transdisciplinary processes for an abundant future. Rooted in Pods, enriched by Partners and 48 co-Investigators, Abundant Intelligences explores AI from the perspective of language, storytelling, environmental stewardship, socio-neuro AI, multi-agent systems.
Human Rights
The promotion and protection of human rights must be a cornerstone of the responsible governance of AI. We commit to ensure that AI systems are human-centric and do not infringe on Universal Human Rights, for instance, the right to privacy or freedom of expression.
Human Rights
B-Tech Project - OHCHR
The B-Tech Project, initiated by the UN Office of the High Commissioner for Human Rights (OHCHR), provides guidance for implementing the United Nations Guiding Principles on Business and Human Rights (UNGPs) in the technology sector. Launched in 2019, it focuses on four areas: addressing human rights risks in business models, human rights due diligence, accountability and remedy, and regulatory responses to digital technology challenges. The project includes a Generative AI initiative, engages globally with a specific focus on Africa, and utilizes a multistakeholder approach to produce tools and resources aimed at promoting responsible business conduct in technology.
Human Rights
Ethics of AI - UNESCO
Adopted by all 193 UNESCO Member States in November 2021, the Recommendation on the Ethics of AI represents the only existing global standard addressing the many challenges that AI may trigger. It establishes a comprehensive framework, based on human-centered principles and values, and details concrete actions in a wide array of policy fields, including gender.
Gender Equality
AI technologies should be designed to promote gender equality, avoiding biases that perpetuate or exacerbate gender disparities. Gender-responsive AI governance ensures equal opportunities and benefits for all.
Gender equality
Google’s Women Techmakers
Women Techmakers is a global initiative launched by Google to enhance visibility, foster community, and provide resources for women in technology. The program is dedicated to supporting and encouraging women in the tech industry through access to educational workshops, mentorship, networking events, and leadership development opportunities.
Gender equality
Gender Equitable AI Toolkit (NetHope)
The Gender Equitable AI Toolkit, created by NetHope, aims to promote gender equity in AI development for nonprofits. It provides practical guidance through principles, case studies, and actionable steps using the IDEA (Imagine, Dream, Execute, Assess) Journey methodology. This human-centered approach ensures that AI solutions consider the needs of women and girls. The toolkit is available as an e-learning course and a downloadable PDF, supporting nonprofit professionals in developing or reviewing AI projects.
Inclusion
The development, deployment and use of AI must be inclusive, focusing on women and girls, children and youth, as well as older persons, persons with disabilities, migrants, indigenous peoples, persons in vulnerable situations and those in underserved, rural and remote areas.
Inclusion
AI Fairness 360
AI Fairness 360 is an open-source toolkit designed to help users "examine, report, and mitigate discrimination and bias in machine learning models throughout the AI application lifecycle." Developed as an LF AI incubation project, it aims to translate algorithmic research into practical applications across various domains including finance, human capital management, healthcare, and education.Key features of AI Fairness 360 include:
10 state-of-the-art bias mitigation algorithms
Over 70 fairness metrics to quantify individual and group fairness
Industrial applications with tutorials demonstrating real-world use cases
The toolkit is available in both Python and R, and was moved to LF AI by IBM in July 2020.
Inclusion
Google: AI for Social Good
Google’s AI for Social Good initiative demonstrates how AI can be a force for positive change. By tackling global challenges like healthcare and environmental sustainability, this program shows the potential of AI to address some of the world’s most pressing issues in collaboration with partners across various sectors
Inclusion
AI4ALL
AI4ALL is all about diversity and inclusion in AI. This nonprofit empowers underrepresented groups to get involved in AI through education and mentorship. By supporting the next generation of AI leaders, AI4ALL ensures that the future of AI is shaped by a wide range of voices and perspectives.
Inclusion
eHealth Africa
eHealth Africa was founded in 2009 with a simple idea: that communities in developing countries could have better healthcare when providers are able to make data-driven decisions. eHealth Africa’s mission is to build stronger health systems through the design and implementation of data-driven solutions that respond to local needs and provide underserved communities with tools to lead healthier lives.
Inclusion
SKAI
SKAI’s groundbreaking solution represents the future of disaster response and humanitarian aid. Developed by the World Food Programme (WFP) in collaboration with Google Research, SKAI is revolutionizing the way we tackle world hunger and respond to emergencies. SKAI uses artificial intelligence (AI) and satellite imagery to enable real-time insights and actionable intelligence for effective decision-making during disaster response. By fusing cutting-edge machine learning algorithms and vast satellite data, SKAI empowers organizations to make data-driven decisions with unprecedented precision and speed. From rapid building damage assessment to situational awareness and resource allocation, SKAI is redefining the way we respond to crises.
Inclusion
Digital Engine for Emergency Photo-analysis (DEEP)
The World Food Programme (WFP) uses machine learning to boost the speed and accuracy of post-disaster assessments and mapping and get more targeted assistance to the people who need it most. WFP developed a Digital Engine for Emergency Photo-analysis (DEEP), which uses machine learning to turn that bird’s eye view into actionable information for response teams. DEEP can cut post-disaster assessments from weeks to less than an hour, with 85 percent accuracy in pinpointing damaged buildings. It can be installed on any laptop with a decent video card, be run offline and be equally effective when applied to satellite images.
Inclusion
Abundant Intelligences
Abundant Intelligences is an Indigenous-led research program exploring how Indigenous Knowledges and Systems can expand and transform AI. Bringing together communities, researchers, and labs from across the Indigenous world to create transdisciplinary processes for an abundant future. Rooted in Pods, enriched by Partners and 48 co-Investigators, Abundant Intelligences explores AI from the perspective of language, storytelling, environmental stewardship, socio-neuro AI, multi-agent systems.