Jailain Hollon
M.P.S. Candidate, AI Management at Georgetown University
AI Safety & Governance | Tech Policy Communication
I translate complex policy, audience data, and cultural signals into clear, actionable strategy. That skill took me from journalism to helping a global brand like Candy Crush (King) understand U.S. market shifts, privacy concerns, and what actually resonates with people. Now I’m earning my Master’s in AI Management at Georgetown and building a deliberate career in AI governance and trust & safety, focused on protecting people from algorithmic harm, bridging policy gaps, and making accountability real, not just a talking point.
Building Expertise in AI Governance and Trust & Safety
I’m earning my Master’s in AI Management at Georgetown University, choosing this path deliberately to build a career I can stand behind. My coursework is giving me the policy, ethical, and technical foundation to work in AI governance, safety, and public-interest technology.
Current and upcoming courses include:
– AI Governance and Compliance
– AI Security and Data Privacy
– Communication Strategies for Digital Transformation
This preparation for the real work: translating frameworks like the EU AI Act, NIST AI RMF, and White House Executive Orders into governance people can use as I refine my expertise.
AI Governance & Policy Readiness
Navigating the EU AI Act, NIST AI RMF, and federal AI Executive Orders through my AI Governance and Compliance coursework at Georgetown.
Ethical Data Governance & Privacy Strategy
Building a grounded understanding of privacy-first systems, bias mitigation, and algorithmic accountability through Ethical AI and AI Security & Data Privacy.
Public Interest AI Communications
Studying how to translate complex technical risks into clear, trustworthy narratives, supported by Communication Strategies for Digital Transformation.
What It Means to Build Trust in AI
Trust is built through intention; it cannot be earned through innovation. In an era defined by accelerating AI adoption, responsible governance means centering people in every system, narrative, and decision. Whether I am translating complex policy or developing stakeholder strategy, my goal is to make emerging technology safe, explainable, and equitable. I strive to advance public impact strategies rooted in accountability, drawing inspiration from industry leaders who champion justice and human dignity.
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Hay que desmitificar la tecnología y escuchar a las personas que están bajo los escombros del progreso.”
(Translation: “We must demystify technology and listen to the people buried under the rubble of progress.”)
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“I want us to be able to do AI research in a way that we think it should be done—prioritizing the voices that we think are actually being harmed.”
What I Value in AI Governance & Ethical Tech
The future of technology depends on values, not just velocity. These are the principles that guide my work in AI policy, responsible innovation, and public impact.
Clarity Over Complexity
Policy, not jargon. Whether it’s an algorithmic impact statement or a public-facing brief, clear language fosters trust and accountability.
Collaboration Beats Control
Ethics isn’t a solo sport. Responsible AI demands cross-functional voices—from legal and data science to community partners and frontline users.
Ethics Isn’t Optional
Innovation must serve people. If AI systems reinforce harm, ignore bias, or deepen inequity, they’ve already failed.
Organizations I’ve Worked:
My work has intersected with public policy, education equity, ethical AI, and AdTech, and I have collaborated with organizations committed to trust, access, and responsible innovation.
