Public Sector
Microsoft 365 Copilot Enablement
Live training on responsible AI use, prompting, role-based workflows, use-case development, and adoption planning.
Watch trainingAI Governance, Responsible AI, Research & Education
Courtney Lawton
I work at the intersection of AI governance, Responsible AI, organizational adoption, research, and higher education. My focus is on how institutions respond to emerging technologies, translate principles into practice, prepare people for meaningful engagement with AI, and maintain accountability as technological capabilities evolve.
Through my work as a practitioner, researcher, and educator, I explore how organizations and individuals can navigate technological change responsibly while building practical, human-centered approaches to AI governance, adoption, and institutional readiness.
Selected Highlights
Professional Impact
9+
Years of professional experience
Across technology, government, compliance, technical communication, and organizational change
6
Organizational clients
Secured within the first year of launching an independent AI enablement service
Top Rated Plus
Upwork
Recognized for a strong track record of successful client engagements
Research & Credentials
PhD Candidate
Artificial Intelligence
Currently in progress at Capitol Technology University
4
Published studies
Including two in Q1 journals, with work subsequently cited by other researchers
2
AI manuscripts submitted
Completed while advancing doctoral research
AI Adoption & Enablement
Turning AI interest into responsible, everyday practice
My work focuses on helping organizations translate AI ambitions into responsible and sustainable practice. I am particularly interested in how institutions adopt emerging technologies, operationalize governance principles, prepare people to use AI effectively, and build systems of accountability that can adapt as technology evolves.
Drawing on experience as a Responsible AI Specialist within Microsoft's Office of Responsible AI, I have supported engineering teams in translating governance requirements and emerging regulatory expectations into practical processes, documentation, and evidence-based guidance. I am also a Microsoft Certified AI Business Professional and Microsoft Certified AI Transformation Leader.
Through my independent AI enablement program, I developed the AI Innovation Framework and related resources addressing AI strategy, workforce learning, governance, workflow design, and responsible adoption. Within my first year, I secured six organizational clients and applied these approaches across public-sector, nonprofit, healthcare, and other complex organizational settings.
Across this work, my goal is to help organizations move beyond experimentation toward sustainable, responsible, and human-centered AI adoption that creates meaningful value while maintaining appropriate oversight and accountability.
From the Newsletter
Practical takes on AI adoption
- Moving from AI Experiments to Measurable Business Value
- When AI Touches Sensitive Data, “Approved Tool” Is Not Enough
- The Order of Your Copilot Rollout Matters More Than the Rollout Itself. Here's Why
- What's Actually Blocking Your Microsoft 365 Copilot Rollout? It's Not What You Think
- How does an organization know if it has the right AI tool?
- Is AI upskilling the last thing your organization should be doing right now?
- Is AI actually making your team more productive, or just busier?
Certifications
Microsoft Certified AI Business Professional
Microsoft Certified AI Transformation Leader
Watch Selected Training
Training in action
A sample of live and recorded sessions designed to help teams apply AI responsibly and effectively.
Health E-Commerce
Claude Workflow Program
Applied training connecting AI use with innovation, workflow development, decision support, and responsible adoption.
Watch trainingPacific Institute
ChatGPT Enablement
AI adoption and responsible research workflows for nonprofit professionals working across research and program functions.
Watch trainingAI Governance & Audit Readiness
Governance resources that turn principles into practice
A selection of presentations, publications, and thought leadership exploring AI governance, organizational accountability, and responsible technology adoption.
Related Governance Work
Kadima Consulting | 2026
You Can't Govern What You Can't See: AI Risk for Leadership Webinar
Helps leaders govern AI risk with a practical framework for defensible, responsible adoption.
Internet Policy Review | 2025
TikTok ban in the United States: A necessary precaution or a misstep?
Highlights the need for global digital governance balancing security, privacy, sovereignty, and openness.
Research
Researching governance, accountability, and institutional change
My research examines many of the same questions that arise in practice: how organizations govern emerging technologies, translate principles into operational systems, and sustain accountability as technological capabilities evolve. Through this work, I explore the institutional, organizational, and human factors that shape AI adoption and governance.
As a doctoral researcher in Artificial Intelligence at Capitol Technology University, I study the governance, accountability, and institutional implications of emerging AI technologies. My research focuses on how organizations develop responsible approaches to AI adoption, operationalize governance frameworks, and maintain meaningful oversight in an increasingly AI-enabled environment.
I maintain an active research agenda, advancing my dissertation while contributing new scholarship on AI-related topics through peer-reviewed publications.
Before moving into AI, my research focused on mediated communication, resulting in three peer-reviewed publications, including two in Q1 journals. That background continues to inform my perspective, bringing insights from communication scholarship to questions of technology adoption, institutional change, and human engagement with AI.
Selected Published Research
Journalism & Mass Communication Quarterly | 2025
Hybridizing Just War Theory and Peace Journalism to Report Violent Conflicts
Introduced Just-Peace Journalism (JPJ) to strengthen ethical conflict reporting, earning two citations in its first years.
The International Journal of Organizational Diversity | 2025
Can Antiracism Training Achieve Lasting Change? Strategies for Sustainable Behavioral and Organizational Transformation
Advances antiracism training by identifying strategies for lasting organizational change, with two citations in its first years.
Pandemic Motherhood | 2025
Digital Media's Bearing on Maternal Well-Being
Highlights the emotional toll of digital parenting and identifies opportunities to better support maternal well-being and healthier family dynamics.
Current AI Research
AI Governance & Accountability
Research examining governance and accountability challenges emerging alongside increasingly capable AI systems.
Agentic AI Accountability
A systematic review examining accountability mechanisms and the evidence supporting them for agentic AI.
Doctoral Research
Ongoing PhD research focused on governance and institutional responses to AI-enabled technologies.
Technical Communication
Workplace writing, technical documentation, usability, audience analysis, and document design.
AI Literacy & Responsible Use
Critical evaluation, disclosure, human judgment, responsible AI use, and AI-assisted professional writing.
Professional Education
Curriculum development, workforce learning, instructor-led training, and applied learning experiences.
Resources
Downloadable teaching materials
Teaching & Education
Preparing learners for an AI-enabled future
Many of the challenges surrounding AI are ultimately human as well as organizational, which is why education and AI literacy are central to my work. As AI becomes increasingly integrated into professional and institutional contexts, individuals need not only technical skills, but also the judgment required to use these technologies responsibly and effectively.
My educational work explores how higher education can prepare learners to engage thoughtfully with AI and other emerging technologies. I am particularly interested in AI literacy, Responsible AI education, curriculum innovation, and professional learning that bridges technical capabilities with critical thinking, communication, and ethical judgment.
As an Adjunct Professor of Technical Writing at the University of Arkansas Grantham, I teach courses in workplace communication, technical documentation, usability, audience analysis, document design, editing, and professional writing. I also integrate responsible AI and AI-assisted writing into the curriculum, helping students evaluate emerging technologies critically and understand their appropriate use in academic and professional settings.
Across my teaching and educational work, my goal is to help learners develop the communication skills, technological fluency, and professional judgment needed to participate thoughtfully in an AI-enabled future.
Areas of Focus
AI Governance & Policy
Responsible AI, public-sector AI, institutional accountability, policy implementation, emerging regulation, human oversight, and governance of advanced AI systems.
Responsible AI Adoption
AI readiness, governance, use-case development, human-AI workflows, workforce enablement, and organizational adoption.
Research
AI governance, accountability, agentic AI, public-sector technology, institutional responses to technological change, and mediated communication.
Education
AI literacy, Responsible AI education, technical communication, curriculum development, and professional learning.
Experience Across Sectors
Microsoft
Federal Government
Higher Education
Public Sector
Healthcare
Nonprofit Organizations
Professional Focus
Bridging governance, research, and education
I believe the challenges surrounding AI cannot be solved through technology alone. Effective governance requires responsible organizational practices, evidence-informed research, and educational efforts that prepare people to engage with AI thoughtfully and responsibly.
Across my work in practice, research, and education, I focus on helping institutions navigate technological change while maintaining accountability, human judgment, and public trust. Whether supporting AI adoption initiatives, researching governance and institutional responses, or teaching the next generation of professionals, my goal remains the same: advancing practical, human-centered approaches to responsible AI.
Connect
Let's connect
I am always interested in engaging with researchers, educators, policymakers, and practitioners working on the responsible development and adoption of AI. I welcome opportunities for research collaboration, fellowships, teaching and curriculum development, guest lectures, speaking engagements, and selected advisory or AI enablement projects.