Page 770 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

Industry, Innovation, and Infrastructure: The project showcases a forward-thinking application
of artificial intelligence and machine learning to drive social good. By developing technologies
such as real-time sign language recognition, pose estimation, and natural language processing,
the initiative strengthens digital infrastructure and encourages innovation that supports
accessibility for all.
Reduced Inequality: The solution directly empowers deaf and hard-of-hearing communities by
enabling greater participation in education, employment, and everyday social interactions. By
removing communication barriers, it promotes equal access to opportunities, resources, and
services, thereby helping to reduce disparities and foster a more inclusive society.

2�3 Future Work
• Pilot Study Completion: Conduct a comprehensive pilot study evaluating initial ISL
detection and translation models.
• Prototype Development: Deploy a functional PoC system demonstrating realtime ISL
recognition and translation.
• Research Paper Submission: Prepare and submit a research paper detailing the
methodology, findings, and potential improvements based on the pilot study.
• Dataset Release: Publish an initial dataset of annotated ISL signs, including pose
estimation and space embeddings representations.
• Technical Report: Document findings from early testing phases and propose refinements
for future work.
• AI for Good Summit Presentation: Demonstrate prototype performance and preliminary
results at the AI for Good Summit 2025.
• Avatar Generation: Investigate avatar generation for ISL translation, creating dynamic sign
language avatars for enhanced visual translation.
• Ethical Safeguards and Data Privacy Measures: Implement and document robust privacy
protections for sensitive video recordings, including anonymization techniques (e.g.,
skeletal abstraction and facial de-identification), secure storage using GDPR-compliant
frameworks, and user-informed consent procedures. A Data Protection Impact
Assessment (DPIA) will be conducted prior to any public data release to ensure ethical
standards are met.

3 Use Case Requirements

• REQ-01: Development of an organic dataset with following:

o Data collection from native signers, YouTube videos, and expert collaboration.
o Annotation strategies for regional sign language variations.
o Quality control measures to ensure real-world usability and linguistic diversity.

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