National Data Privacy and Governance Act
Erica Okeh
Submitted to Howard University AI Safety Summit & Policy Hackathon. Projects from partner hackathons are early-stage work by participants, not Apart Research publications.
This research examines how AI recommender systems can be regulated to balance economic innovation with consumer privacy.
Reviews
Great analysis of data privacy challenges with comprehensive, actionable solutions including specific budget allocations and clear success metrics. The presentation could be enhanced with visual elements to illustrate the proposed regulatory framework and implementation timeline.
Cite this project
@misc{okeh2024national,
title = {{National Data Privacy and Governance Act}},
author = {Erica Okeh},
year = {2024},
month = nov,
note = {Submitted to Howard University AI Safety Summit \& Policy Hackathon, a partner hackathon},
howpublished = {\url{https://apartresearch.com/sprints/projects/national-data-privacy-and-governance-act}},
url = {https://apartresearch.com/sprints/projects/national-data-privacy-and-governance-act}
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