New Strategic Report on Gender Equality in AI
Recently,
Mila and
CEIMIA, two leaders in the responsible AI development field, released a significant strategic report focusing on gender equality and diversity in artificial intelligence (AI). This report, titled "Towards Substantive Equality in AI: Transformative AI Policy for Gender Equality and Diversity," is the most detailed of its kind so far. It draws from extensive consultations with various experts and stakeholders, providing clear recommendations designed to foster inclusivity in technology.
Presented at an event in
Montreal, Canada, attended by prominent figures such as
Anita Anand, Chair of the Canadian Treasury Board, this initiative is part of the Responsible AI Working Group under the
Global Partnership on AI (GPAI). The document aims to equip states and other stakeholders with the tools necessary to build inclusive, just, and fair AI ecosystems that advance both economic and social development.
The rapid evolution of AI holds immense potential to transform industries and enhance livelihoods across the globe. However, it also carries risks of exacerbating existing inequalities by amplifying societal biases, discrimination, and harmful stereotypes, particularly against women and historically marginalized groups. Documented instances include the non-consensual dissemination of personal images and online harassment linked to AI systems. The lack of diversity within the AI ecosystem restricts opportunities for underrepresented groups and leads to inequitable allocation of resources for individuals with disabilities.
Paola Ricaurte Quijiano, a professor at Tecnológico de Monterrey and a lead co-author of the report, emphasized its importance: “The recommendations address the root causes of inequality, aiming for substantial equality within AI and beyond. Transformative changes in AI development and policy will enhance human rights.” She underscored the necessity of establishing a solid regulatory framework to prevent harm while enabling beneficial AI system and process development for all.
The report's fundamental recommendations fall into four categories:
1.
Creating incentives for inclusive design: This involves integrating affirmative actions and institutional inclusion measures, along with promoting the development of inclusive technologies.
2.
Encouraging meaningful participation in AI governance: It’s essential to ensure that marginalized groups actively participate in AI governance to secure better AI policies for everyone.
3.
Ensuring transparency and accountability for harm prevention: Establish safeguards and accountability mechanisms for all AI stakeholders, guiding them to avert potential harms and ensure fairness.
4.
Guaranteeing effective access to justice: Implement measures that ensure marginalized groups have avenues for legal recourse against discrimination and bias linked to AI.
The report suggests allocating funds to initiatives aligned with inclusive technology design principles, fostering equitable practices and applications within AI ecosystems. Additional recommendations include developing strategies for both the public and private sectors to conduct human rights impact assessments prior to employing AI systems and ensuring algorithmic transparency. Such steps would empower affected individuals by providing them clear, understandable information necessary to contest AI system outcomes. It also aims to shift the burden of proof for plaintiffs to facilitate access to remedies against AI-driven discrimination and bias.
Benjamin Prud’homme, Vice President of Policy, Security, and Global Affairs at Mila and a co-author of the report, voiced the urgent need for robust regulatory frameworks to prevent harm and pursue actual equality and diversity in AI ecosystems, which significantly affect human life. The integration of inclusive AI policies can enhance the quality, usability, and effectiveness of AI systems, ultimately contributing to a fairer and more sustainable future for all.
Alongside the report, CEIMIA and Mila also released a guide aimed at assisting policymakers in implementing these recommendations. This guide provides a step-by-step roadmap to build more inclusive AI ecosystems and actionable measures essential for enacting this much-needed industry change.
Over 200 participants from more than 50 countries, diverse in perspectives, contributed to the consultation processes leading to this report. Such collaboration is crucial in creating a human rights-based approach to AI development, ensuring holistic representation in discussions that impact AI governance.
About CEIMIA: Established to play a leading national and international role, CEIMIA seeks to catalyze high-impact responsible AI projects, ensuring that AI development benefits humanity across borders. The organization also aims to amplify the influence of Canadian and Quebec stakeholders on the international stage in responsible AI practices.
About Mila: Founded by Professor
Yoshua Bengio at the University of Montreal, Mila is a research institute focused on AI, uniting over 1,200 researchers specialized in machine learning. Mila aims to be a global hub for scientific advancement, promoting innovation and the growth of AI for the benefit of all.
For more details, visit
CEIMIA and
Mila.