Embracing the responsibility to treat all individuals with inherent dignity and respect is fundamental to the very essence of the good life. And a thriving world is where the good life is understood as a shared journey, one marked by mutual understanding, nurtured connections, and an environment filled with collaborative growth. However, the AI ecosystem is hindered by the continued problem of inequitable outputs. We believe this exists due to a lack of social and human context in algorithmically driven decision-making that often exacerbates this inequitability both within and beyond these applications. The SIDGE Center aims to disrupt the way we think about AI by first centering human responsibility in the world of mutual interdependency and shared opportunity -- the good life. Second, we believe that by informing LLMs (Large Language Models) with greater context of human lived experiences (“thick” data) we can help to foster constructive environments for better generative solutions. And third, we think that through “thicker” data, fresh ingenuity and our passion for innovation, we can build better products and drive more effective, beneficial, and profitable generative outcomes.

• Host two (2) SIDGE Symposia with field experts.
• Convert workshop content into an on-demand video library hosted on the SIDGE page.
• Formalize a Corporation for Public Interest Technology (CPIT)–SIDGE research node to co-develop community-oriented validation metrics.
• Launch three (3) community, gatherings and workshops do begin development of the "thick" data repositories.
• Thick-Data Repository: Development of pilot project for a secure, consent-driven repository housing specific community curated datasets (health, housing, climate) that amplify under-represented sources to mitigate outcome bias in machine learning (ML). Bias-Stress Testing Pilot. We will develop a pilot program module for stress-testing ML models for bias mitigation.
• Sustainable Growth: Enter a multi-year partnership with teaching hospitals, such as UCSF, and health care systems, such as Kaiser Permanente to extend research on algorithmic fairness in health care, aligning with NorcalMLK’s broader wellness mission.
• Complete the foundational design for the SIDGEx Incubator Program, with an emphasis on recruiting diverse founders and equipping them with ethics-first frameworks in their product development cycles. The Preliminary plan includes a San Francisco residency for select early technologists, producing products and services that take advantage of bias mitigation for better and healthier product and service outcomes.

Activity 1: Symposia Planning

• Description: Confirm the 2026 SIDGE Symposium (Jan. 2026) and the 2026 Spring/Summer Symposium (Jun. 2026)
• Description: Development of event formats
• Responsible Team: SIDGE Planning Team/Planning Team Coordinator
• Timeline: Month 1 thru 3

Activity 2: Community Gathering Planning

• Description: Planning of community gatherings
• Description: Planning of community gatherings
• Responsible Team: Planning Team Coordinator
• Timeline: Month 2 & 3

Activity 3: SIDGE Incubator Program Modeling

• Description: Structuring of start-up incubator program
• Responsible Person(s): SIDGE Planning Team
• Timeline: Month 4 thru 7

Activity 4: SIDGE Center Data Repository Design and Development

• Description: Design and development data repository for community-curated datasets
• Responsible Person(s): NorcalMLK project Manager
• Timeline: On-going

Activity 5: SIDGE Symposium #1 (Jan. 2026)

• Description: Presentation of SIDGE Symposium (Jan. 2026)
• Responsible Person(s): SIDGE Planning Team
• Timeline: Jan. 2026

Activity 6: SIDGE Spring/Summer Symposium

• Description: Presentation of SIDGE Spring/Summer Symposium (Jun. 2026)
• Responsible Person(s): SIDGE Planning Team
• Timeline: Jun. 2026

Activity 7: Community Gathering Event Hosting

• Description: Community Event hosting
• Responsible Person(s): SIDGE Planning Team
• Timeline: Jan. 2026/Mar. 2026/May 2026