This treatise and subsequent leadership framework investigate the history of institutional betrayal and examine the strategic application of the Black Radical Tradition to address contemporary leadership challenges. Over time, the Western power structures have functioned under a protective paradox, in which those responsible for extraction also claim the authority to design technological solutions to the resulting harm (Broussard, 2018). While technologies, artificial intelligence, and other technical infrastructures are marketed as objective and universal equalizers, this narrative is often used to place leadership in a technologically advancing environment as neutral and free of the flaws of human bias (Ajunwa, 2016; Broussard, 2018; El Morr, 2024; Peña Gangadharan & Niklas, 2019). However, beneath the facade of neutrality, these systems automate, mask, and encode historical colonial, capitalistic, and white supremacist dynamics and actively extract value economically and culturally, police the marginalized, and erode digital and communal sovereignty (Benjamin, 2019; Eubanks, 2018; Mollema, 2024; Noble, 2020). Ideologically, if technology is heralded as an objective savior, any destructive outcomes it produces can be rationalized as “glitches” and are insulated from scrutiny and accountability (El Morr, 2024; Noble, 2020).
In the era of artificial intelligence (AI), this logic produces a digital middle passage that automates historical disinvestment, intensifies racial battle fatigue, and impedes the quality of mental health. Dr. Tiera Tanksley (2026) and many other scholars problematize the adoption of these technologies without a critical examination of the research showing that algorithmic bias is pervasive across AI technology. When we align this with leadership paradigms, this work critiques the reliability of the technology’s institutional altruism and argues that leaders require a framework that aligns with AI ethics in practice to avoid the consequences of disinvestment, fatigue, and declining well-being. By introducing The Mud Code™, a leadership framework rooted in ancestral wisdom and innovation, leveraging five case studies spanning 500 years from 1526 to the present, this capstone provides a roadmap for digital maroonage and revolutionary leadership practices for Black leaders in the age of AI. This treatise concludes that Black leaders must reject reformist engagements on the premise that the infrastructure of these systems is biased and programmed to disinvest and destabilize their leadership. Leveraging historical case studies drawn from the Black Radical Tradition of leadership and resistance, The Mud Code™ provides exemplars and practical guidance to build comprehensive leadership practices and independent technological systems that prioritize communal well-being and psychological safety in the face of an expansion of imperialism, racial inequity, and layers of disinvestment through AI and the advancements of technology.
— Dennis Maurice Dumpson · Upcoming Doctoral Treatise (2027)
References
- Ajunwa, I. (2016). The hiring algorithm and discrimination.
- Benjamin, R. (2019). Race after technology: Abolitionist tools for the new Jim Code. Polity Press.
- Broussard, M. (2018). Artificial unintelligence: How computers misunderstand the world. MIT Press.
- El Morr, C. (2024). Ethics of artificial intelligence.
- Eubanks, V. (2018). Automating inequality: How high-tech tools profile, police, and punish the poor. St. Martin’s Press.
- Mollema, W. J. T. (2024). Coloniality, artificial intelligence, and the politics of technological design.
- Noble, S. U. (2020). Algorithms of oppression: How search engines reinforce racism. NYU Press.
- Peña Gangadharan, S., & Niklas, J. (2019). Decentering technology in discourse on discrimination. Information, Communication & Society, 22(7), 882–899.
- Tanksley, T. (2026). Algorithmic anti-Blackness and the digital lives of Black youth (forthcoming).