Policy Strategy for Combating AI-Assisted Coercive Control

The Feminine Intelligence Agency (FIA) is a research and public policy organization dedicated to advancing Social Discernment —the ability to detect manipulation early, respond effectively, and protect personal and collective agency in complex social environments. FIA is developing a comprehensive curriculum, scalable tools, and legal frameworks to address coercive control, emotional exploitation, and tech-enabled manipulation in relationships and digital life. Our work focuses on: 🧠 Social Discernment Curriculum : A new field of emotional intelligence that helps people recognize coercion, power games, and deceptive language before harm occurs. 📱 Player Identifier Chatbot : A predictive tool that analyzes early relationship patterns to help users recognize emotionally dangerous individuals. 🔍 AI Language Training App ( ChatBoy ) that teaches users to spot manipulative language across different contexts—dating, work, friendship, and family. 🧘‍♀️ Peer-to-Peer Wellness Platform : A non-therapeutic, group-based support system designed for women navigating emotional burnout and frustration in high-conflict or confusing relationships. 🔐 Cybersecurity for Women : A decentralized, peer-led training program that focuses on emotional safety, social engineering, and digital resilience—especially for those targeted by psychological abuse or coercion online. FIA’s work bridges public policy, digital safety, and emotional intelligence to help individuals and institutions detect invisible threats and respond with clarity, ethics, and courage. This project explores how the United States might adopt policies to criminalize coercive control in intimate and institutional relationships, following the lead of countries like the UK, Scotland, and Ireland. Specifically, it will examine how emerging technologies—particularly generative AI—are amplifying patterns of manipulation, isolation, and psychological domination, a phenomenon we refer to as AI-Assisted Psychological Exploitation (AIPEx) . The student will assess: How Britain successfully passed coercive control laws (strategy, framing, resistance) Why similar efforts have struggled in the U.S. (cultural, legal, and political factors) How new threats—especially tech-enabled coercion—may change the narrative or legislative appetite The outcome will be a policy roadmap for how coercive control could be reframed, regulated, or outlawed in the U.S., including legal frameworks, political feasibility, and public engagement strategies. 📘 Policy Problem: The U.S. lacks legal frameworks to address non-physical forms of abuse like gaslighting, digital surveillance, emotional manipulation, and isolation tactics—despite their well-documented psychological and economic impacts. The problem is compounded by AI tools that are being misused to amplify these tactics at scale (e.g., deepfakes, real-time surveillance, chatbot mirroring, voice cloning). This project addresses both a market failure (unregulated tools enabling harm) and a government failure (lack of legal protections and prevention strategies for psychological abuse). 🧩 Key Questions to Explore: What legislative, advocacy, and cultural strategies made coercive control laws pass in the UK and Ireland? What would a U.S.-specific policy roadmap need to look like—legally, politically, and culturally? Could technology-driven manipulation (AIPex) be a wedge issue for reform or regulation? What risks or resistance would this proposal face from political, tech, or legal sectors?

Empowerment Dashboard Design with Synthetic Data

The Feminine Intelligence Agency (FIA) is a social innovation startup that builds tools to help women and other vulnerable populations recognize coercion, build psychological resilience, and protect themselves in relationships, workplaces, and digital environments. We’ve developed a suite of educational tools based on years of psychological research, including: The Agency Calculator – A diagnostic tool that scores users on 20 dimensions of personal agency (e.g., boundaries, emotional regulation, critical thinking, autonomy). The BlindSpot Quiz – A self-awareness tool that reveals a user's potential manipulation blind spots or psychological vulnerabilities. The Player Identifier Chatbot – An AI-guided conversation tool that scores patterns in past or present relationships to detect early warning signs of coercive control. All tools are grounded in a custom-built trait scoring system, and the backend is currently being migrated to a graph database (Neo4j) to support interactive analysis and visualization. The Goal of This Project: Your job is to take our structured psychological framework and design a user-facing data dashboard using synthetic data . This dashboard should help users: Understand their strengths and areas for growth across the 20 agency traits See how their relationship history or quiz patterns affect their risk profile Get personalized suggestions for chatbot training modules or education content Track their learning journey or improvement over time This dashboard should be visually intuitive , empowering , and curious-user-friendly . Think of it as the bridge between psychological insight and actionable growth. Data Provided: You’ll be given structured synthetic datasets that mirror real patterns from FIA’s tools (no real user data, no PII). These datasets will include: Trait scores from the Agency Calculator (0–10 scale, 20 traits) Vulnerability cluster types from the BlindSpot Quiz Player-type pattern flags from relationship assessments Sample chatbot session logs (e.g., user selected “Egocentric Evan,” answered 6/10 confrontation questions) Suggested learning modules and growth paths (Optional) simulated session timestamps for visualizing progress over time

Cybersecurity Fair Pilot Readiness Assessment

The goal of this project is to help the Feminine Intelligence Agency (FIA) prepare its innovative Cybersecurity Fair platform for public launch. The Fair is an interactive, peer-learning environment where students teach each other practical cybersecurity micro-skills — a scalable, low-cost model to raise digital awareness and resilience across campuses. Student teams will focus on testing, improvement, and pilot design to ensure the platform is secure, effective, and engaging. Through hands-on evaluation and structured reporting, the team will connect cybersecurity principles with real-world educational deployment. Key Objectives: Conduct a cybersecurity and usability audit of the Cybersecurity Fair prototype, identifying vulnerabilities, privacy risks, and accessibility issues. Design and document a pilot launch plan , including test procedures, feedback collection, and key performance indicators (KPIs). Evaluate learning effectiveness — does the content help users understand emerging threats like AI-assisted psychological exploitation (AIPEx) and social engineering? Deliver an implementation readiness report summarizing system health, educational quality, and risk mitigation priorities. Develop a professional presentation package suitable for executive review and potential university partners. By the end of the project, students will produce a set of practical, adoption-ready recommendations that strengthen FIA’s ability to deliver cybersecurity literacy to thousands of college students, especially women, in a fast-changing digital threat landscape.

SEO & Audience Fit Dashboard Development for FIA

The Feminine Intelligence Agency (FIA) is a social-impact organization dedicated to advancing women’s equality. Our mission is to teach women how to spot, resist, and neutralize coercive tactics in relationships, workplaces, and public life. We develop tools, research, and training in the emerging field of Social Discernment —the ability to recognize power moves and manipulation before they escalate into coercive control. Defining the Field Social Discernment is the study of how individuals identify and interpret power moves —the subtle strategies of influence, dominance, or manipulation that shape social, professional, and political contexts. It bridges psychology, sociology, and data science to help people separate authentic collaboration from exploitation and anticipate hidden agendas. This work is especially timely: political rhetoric, media narratives, and online culture are saturated with performative displays of power (“flexing”) . Just as financial literacy helps individuals detect fraud, social discernment provides a framework for detecting manipulation and coercion , enabling women to protect their rights and autonomy. Project Overview FIA has drafted 70 original articles that pioneer the conceptual foundations of Social Discernment . These articles are rich in insight but vary in polish and accessibility. To establish thought leadership and broaden impact, FIA needs to align this canon of work with current industry trends and audience demand . Students will build a recommendation engine that analyzes FIA’s draft articles, matches them with publicly available trend and keyword data, and produces data-driven publishing guidance . The aim is to prioritize and tailor FIA’s articles for maximum visibility while preserving their originality and depth. Scope of Work Theme Analysis: Cluster FIA’s 70 draft articles into core topics using NLP and clustering methods. Trend Matching: Use free public sources (Google Trends, AnswerThePublic, keyword datasets) to map articles against high-demand or rising topics. Platform Fit: Recommend best publication platforms for each article (LinkedIn, Medium, Substack, X) based on content features and audience. Keyword Guidance: Suggest trending words or phrases to strengthen article titles and summaries. Publishing Calendar: Propose timing windows for releasing high-priority articles.