We invite educators supporting student instruction in grades K-12 to apply to be a members of this year's Information and AI Teacher Advisory Council.
This K-12 engagement program equips educators with resources to engage with our in-depth reporting on information and artificial intelligence and apply the questions of AI ethics and accountability raised by the reporting to their everyday work in the classroom. The program recognizes that, as a target audience for many AI tools, educators and the institutions they work for can offer meaningful insights as communities work to address the challenges and opportunities in AI development. This program is designed to provide educators with support developing their own awareness of AI accountability and directly engaging in conversations about AI ethics in the education space.
Council members will participate in six virtual evening workshops to explore underreported news stories about information and artificial intelligence, connect with Pulitzer Center-supported journalists reporting on AI accountability, and use Pulitzer Center education frameworks as tools in their collaborative discussions about the opportunities and challenges for K-12 classrooms seeking to engage with questions about AI accountability. As part of the workshops, teachers will use data from audience research, toolkits made by the previous AI Teacher Advisory Council, and reporting from the Pulitzer Center’s AI Accountability Network to develop a series of professional learning workshops that engage other educators in their communities with resources and reporting on AI accountability. Educators will facilitate the AI Accountability Teacher Training Series they develop as part of the advisory council at the beginning of the 2025-2026 school year, documenting learning and impact from the educators engaged in training, and ultimately presenting their learning in a public-facing showcase in fall 2025. Training materials created through the program will be integrated into learning modules published on the Pulitzer Center website as a resource for other educators.
Council members will engage with the following guiding questions:
- What roles have schools and education spaces played in the history of AI development? How does academia cultivate and inform questions about AI accountability and ethics?
- What role can reporting on information and AI accountability play in helping teachers and students better understand and engage with AI technologies?
- What strategies do journalists use to question, investigate, and advance the conversation about AI accountability and how can educators leverage these strategies to inform classroom practice and empower students’ voices?
- How can we best cultivate productive learning spaces for educators to engage in dialogue about the challenges of AI while centering AI accountability and AI ethics?
- How can teachers and students provide critical feedback to journalists reporting underreported information and AI stories?
This program seeks to extend the impact of the AI Accountability Network by developing resources that support classroom conversations about the use of predictive and surveillance technologies to guide decisions that impact a range of global communities.
Applications are due Friday, May 16, 2025.
APPLY NOW!
Upon successful completion of the program, Council members will be provided with:
- A $600 stipend (made in two payments of $300 disbursed in July and September)
- A Pulitzer Center AI Council Member digital badge
- A certificate for 20 hours of professional development
The Pulitzer Center is committed to making real, measurable progress on diversity, equity and inclusion in all of our programs and partnerships. Please review our Diversity, Equity, and Inclusion statement for more information on our commitments. Educators from historically marginalized backgrounds, and/or educators who are teaching students from historically marginalized backgrounds, are strongly encouraged to apply.
Thank for your interest to the AI Spotlight Series. Welcome to the Track 3: An Editor's Guide to AI application page.
Please submit your application for the AI Spotlight Series Track 3 session. This will be a 90-minute interactive training session led by Tom Simonite and Bina Venkataraman.
This track is designed for managing editors, executive editors, desk editors, social media editors -- anyone in charge of directing coverage, commissioning stories, or packaging and producing them for public consumption.
We will identify different types of AI stories and dissect what sets apart the best coverage, including its framing, headline, and artwork. You’ll learn to assess pitches and filed stories and avoid common pitfalls that can mislead or confuse an audience (or an editor). There will be opportunities to ask questions, trade tips, and have a lively discussion among fellow newsroom decision-makers.