The Consulting Gold Hiding in Your Dissertation: Translating Humanities Research into Paid AI Ethics Work

Here's something most humanities scholars haven't realized: you've already done the hard intellectual work. That dissertation on algorithmic bias in hiring? That comparative literature analysis of surveillance narratives? That philosophical examination of accountability in automated systems? These contain methodologies and frameworks that organizations will pay $15,000 to have applied to their real-world systems. The gap isn't capability, but translation. Start by auditing your existing research for 'transferable analytical units.' These are the discrete methodological moves you make: how you trace bias through a dataset, how you identify accountability gaps in decision-making pipelines, how you interrogate the assumptions embedded in technical systems. One political theory dissertation on democratic legitimacy in algorithmic governance contains perhaps ten distinct consulting engagements (if you can articulate them separately). Get AI to help you with this assessment. It's the kind of task gen-AI shines on. The question isn't 'what is my research about?' but 'what specific analytical problem does my research solve for an organization?' Define your deliverable in market language, not academic language. A general counsel doesn't care about your theoretical framework; she cares about litigation risk. A director of HR doesn't care about your contribution to scholarship; she cares about defending her hiring practices against discrimination claims. Translate 'critical algorithm studies methodology' into 'algorithmic audit framework' or 'bias risk assessment protocol.' Your deliverable isn't an academic article, but a process that produces a defensible outcome a team trying to make or save money can actually use. Finally, describe the engagement in terms of business outcomes, not intellectual inquiry. An AI ethics consultation isn't 'exploring the philosophical implications of machine learning', but 'identifying legal and reputational risk in your automated decision systems before regulators do.' You're offering "protection" moreso than "insight". Price your initial engagements between $8,000 and $20,000 (yes, seriously; you're worth it to them) depending on scope, and remember: the organizations needing this work have budget for it. They just haven't found someone who can speak their language yet. That's where you come in.