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AI2030

AI2030 is an initiative aimed at harnessing the transformative power of AI to benefit humanity while minimizing its potential negative impact.
AI2030
Leadership team

Manas Talukdar (Senior Software Engineering Leader in Data Infrastructure for Enterprise AI)

Lambert Hogenhout (Chief Data, Analytics and Emerging Technologies, United Nations)

Sergio Gago (MD of AI/ML and Quantum, Moody's Analytics)

Noelle Russell (Data and AI (including Generative AI) Market Lead, Accenture Federal Services)

Headquarters
Washington DC, WASHINGTON DC 10024, US
Region served
worldwide
Address
Washington DC, WASHINGTON DC 10024, US
Social Media
Summary

AI2030 is an international initiative focused on advancing the responsible development and use of artificial intelligence (AI) to benefit society while mitigating potential adverse impacts. It aims to shape global AI agendas by fostering public-private collaboration and integrating diverse perspectives to drive positive societal change. The initiative underscores the importance of responsible AI practices and seeks to establish a comprehensive framework to guide the ethical deployment of AI technologies.

The member-based initiative, AI2030 aims to harness the transformative power of AI to benefit humanity while minimising its potential negative impact. The organisation is focused on Responsible AI, AI for All, and AI for Good. It aims to bridge awareness, talent, and resource gaps, enabling responsible AI adoption across public and private sectors.

Through collaboration with leading experts, policymakers, and industry stakeholders, the AI 2030 Framework identifies key areas of focus, such as AI ethics, privacy, transparency, and accountability. By the year 2030, the framework aims to guide the global AI community towards harnessing the full potential of AI while ensuring it benefits humanity in a fair and equitable manner.

History

AI2030 was established with the mission of guiding the global development and use of artificial intelligence towards responsible, ethical, and sustainable practices by the year 2030. The initiative began by identifying the critical gaps in AI knowledge, talent, tooling, and impact that hindered the broader adoption and positive societal influence of AI technologies. From its inception, AI2030 focused on creating frameworks and standards to address these gaps, collaborating with industry experts, policymakers, and academia to develop strategies and solutions that promote the ethical deployment of AI.

In its early years, AI2030 launched several key programs and events aimed at fostering a community of responsible AI practitioners. These included the AI2030 Framework, which provided guidelines for ethical AI development, and the AI2030 Institute, a centre dedicated to cutting-edge research and best practices. The initiative also established the AI2030 Global Fellows program to engage leading AI experts and emerging talents in collaborative projects. Through these efforts, AI2030 has played a significant role in shaping AI policies and practices, emphasising the importance of transparency, accountability, and societal benefit in AI advancements.

Goals and Purpose

Filling the Knowledge Gap: AI2030 aims to bridge the knowledge gap in the field of artificial intelligence by providing its members with exclusive access to cutting-edge research, webinars, and expert insights. This ensures that members are well-informed and stay ahead in the rapidly evolving AI landscape.

Filling the Talent Gap: AI2030 connects members with a network of top AI professionals and emerging talents. This initiative enhances the capabilities and innovation potential of member organisations through strategic workforce development and training, fostering a robust AI talent pool.

Filling the Tooling Gap: AI2030, in collaboration with its partners, offers specialised responsible AI tools and resources. This streamlines access to necessary technology and reduces costs associated with procuring and implementing AI solutions, facilitating the advancement of AI initiatives.

Filling the Impact Gap: AI2030 enables organisations to make substantial impacts on both the industry and society. Through collaborative projects and initiatives, AI2030 promotes responsible AI practices, the concept of AI for Good, and the vision of AI for All, ensuring that AI developments benefit a wide range of stakeholders.

Impact

AI2030 Framework: The AI2030 Framework serves as a strategic guide for the future development of AI. It encompasses guidelines and principles that emphasise responsible and ethical AI practices. The framework is dynamic, continuously evolving to incorporate advancements in AI technology and societal changes. It highlights the need for transparency, accountability, and the safeguarding of privacy in AI applications. By adhering to this framework, stakeholders can work together to harness AI's full potential while ensuring its benefits are distributed fairly across society.

AI2030 Institute: The AI2030 Institute is dedicated to research and the development of frameworks, principles, and best practices for responsible AI. It aims to become a global centre of excellence for promoting ethical AI practices. The institute organises training events and collaborates with experts to drive innovation and advance the understanding of responsible AI implementation worldwide. The focus is on fostering a culture of responsibility and transparency in AI research and deployment.

AI2030 Events: AI2030 Events are a series of global conferences and symposiums designed to explore AI's transformative potential and guide its trajectory towards 2030 and beyond. These events gather visionaries, researchers, industry leaders, and policymakers to discuss AI's role in society and share innovative research. The goal is to collaboratively envision and shape the future of AI-driven innovation, addressing both opportunities and challenges.

AI2030 Global Fellows: The AI2030 Global Fellows programme brings together leading experts and researchers passionate about AI's future impact on society. The fellowship aims to create a collaborative community dedicated to shaping responsible AI practices over the next decade. Fellows participate in groundbreaking research, mentorship, and initiatives that contribute to the responsible use of AI.

Partnerships in AI2030: Partnerships are crucial to AI2030's mission, bringing together organisations, researchers, and experts to collectively advance responsible AI practices. These collaborations contribute unique insights and resources to the development and deployment of AI technologies. AI2030 encourages partners to join in this effort to drive positive change through responsible AI innovation.

References
AI2030
Leadership team

Manas Talukdar (Senior Software Engineering Leader in Data Infrastructure for Enterprise AI)

Lambert Hogenhout (Chief Data, Analytics and Emerging Technologies, United Nations)

Sergio Gago (MD of AI/ML and Quantum, Moody's Analytics)

Noelle Russell (Data and AI (including Generative AI) Market Lead, Accenture Federal Services)

Headquarters
Washington DC, WASHINGTON DC 10024, US
Region served
worldwide
Address
Washington DC, WASHINGTON DC 10024, US
Social Media