Session
Google
Charles Bradley, Google, Private Sector, WEOG Mevan Babakar, Google, Private Sector, APAC Cristina Herrera, Adapt, Private Sector, GRULAC Jim Prendergast, The Galway Strategy Group, Private Sector, WEOG
Charles Bradley, Google, Private Sector, WEOG Mevan Babakar, Google, Private Sector, APAC Cristina Herrera, Adapt, Private Sector, GRULAC Jim Prendergast, The Galway Strategy Group, Private Sector, WEOG
Organization's Website
Speakers
Charles Bradley, Google, Private Sector, WEOG
Mevan Babakar, Google, Private Sector, APAC
Jim Prendergast, The Galway Strategy Group, Private Sector, WEOG
Onsite Moderator
Jim Prendergast
Online Moderator
Cristina Herrera
Rapporteur
Jim Prendergast
SDGs
4. Quality Education
9. Industry, Innovation and Infrastructure
16. Peace, Justice and Strong Institutions
17. Partnerships for the Goals
Targets: SDG 4: Quality Education: By improving our understanding of the sources and processes involved in generative AI, we can enhance educational opportunities related to AI and data science. This knowledge can be disseminated to train the next generation of AI practitioners, ensuring they have the necessary skills and ethical considerations. SDG 9: Industry, Innovation, and Infrastructure: Provenance in generative AI supports innovation by fostering transparency and accountability in AI systems. This can lead to the development of more reliable and trustworthy AI technologies, which in turn can drive economic growth and support sustainable industrialization. SDG 16: Peace, Justice, and Strong Institutions: Understanding provenance in generative AI promotes accountability and fairness in AI systems. By tracing the origins and processes involved in generating AI-generated content, we can mitigate potential biases, discrimination, and misinformation, thus contributing to the promotion of just and inclusive societies. SDG 17: Partnerships for the Goals: Collaboration between academia, industry, government, and civil society is essential for advancing our understanding of provenance in generative AI. By fostering partnerships and knowledge-sharing initiatives, we can accelerate progress towards building more responsible and sustainable AI systems.
9. Industry, Innovation and Infrastructure
16. Peace, Justice and Strong Institutions
17. Partnerships for the Goals
Targets: SDG 4: Quality Education: By improving our understanding of the sources and processes involved in generative AI, we can enhance educational opportunities related to AI and data science. This knowledge can be disseminated to train the next generation of AI practitioners, ensuring they have the necessary skills and ethical considerations. SDG 9: Industry, Innovation, and Infrastructure: Provenance in generative AI supports innovation by fostering transparency and accountability in AI systems. This can lead to the development of more reliable and trustworthy AI technologies, which in turn can drive economic growth and support sustainable industrialization. SDG 16: Peace, Justice, and Strong Institutions: Understanding provenance in generative AI promotes accountability and fairness in AI systems. By tracing the origins and processes involved in generating AI-generated content, we can mitigate potential biases, discrimination, and misinformation, thus contributing to the promotion of just and inclusive societies. SDG 17: Partnerships for the Goals: Collaboration between academia, industry, government, and civil society is essential for advancing our understanding of provenance in generative AI. By fostering partnerships and knowledge-sharing initiatives, we can accelerate progress towards building more responsible and sustainable AI systems.
Format
Roundtable
Introduction and goals for the Session - 5 minutes Breakout Groups to role play - 35 minutes Discussion and Q&A - 15 minutes Wrap up - 5 minutes
Introduction and goals for the Session - 5 minutes Breakout Groups to role play - 35 minutes Discussion and Q&A - 15 minutes Wrap up - 5 minutes
Duration (minutes)
60
Description
Technology has the potential to address the world's most pressing challenges, such as inequality, climate change, and crisis response. By harnessing the power of technology, it is possible to create solutions that can scale quickly and efficiently, reaching large numbers of people. Tech solutions for social impact can help level the playing field by providing access to information, services, and tools that otherwise would not be available to communities that have fewer resources to distribute against a large number of needs. This session will simulate the experience of building social impact tech that addresses these issues.
In this session, participants will be invited to “join” the Google Social Responsibility Team and become a “Product Manager for a Day.” Google product and engineering experts will give flash talks about what it is like to develop social impact technology tools. Audience members will then break out into groups to tackle one of three issues: sustainability, crisis response, and economic opportunity. Each group will have a Google PM at their table to facilitate a brainstorming session for new product ideas in these three areas, if they had unlimited resources and time. Each group will then present their ideas to the entire workshop for feedback, refinement, and prioritization.
Using Zoom will allow both onsite and online participants to see and hear each other. We will ask all participants, both in person and remote to be logged in so we can manage the question queue in a neutral manner, but when in doubt will defer to remote participants as sometimes they are more difficult to spot. Our onsite and online moderators will be in constant communication to ensure that we can facilitate questions and comments from both onsite and online participants. Our onsite moderator will also coordinate with technical staff in the room prior to the session to ensure remote participants and panelists can be seen and heard. We will also consider the unique challenges and opportunities that remote participants face, such as time zone differences, technical limitations, and differences in communication styles. We will urge our speakers to use clear and concise language, avoid technical jargon, and provide context for all information discussed during the session to ensure that both onsite and online participants can follow along and understand the content. Finally, we will explore the use of a polling tool, such as Mentimeter or Poll Everywhere, to ask questions and get feedback from both onsite and online participants in real-time.
Using Zoom will allow both onsite and online participants to see and hear each other. We will ask all participants, both in person and remote to be logged in so we can manage the question queue in a neutral manner, but when in doubt will defer to remote participants as sometimes they are more difficult to spot. Our onsite and online moderators will be in constant communication to ensure that we can facilitate questions and comments from both onsite and online participants. Our onsite moderator will also coordinate with technical staff in the room prior to the session to ensure remote participants and panelists can be seen and heard. We will also consider the unique challenges and opportunities that remote participants face, such as time zone differences, technical limitations, and differences in communication styles. We will urge our speakers to use clear and concise language, avoid technical jargon, and provide context for all information discussed during the session to ensure that both onsite and online participants can follow along and understand the content. Finally, we will explore the use of a polling tool, such as Mentimeter or Poll Everywhere, to ask questions and get feedback from both onsite and online participants in real-time.