black numbers (figures) 1944 on a marble slab.
getty
Eighty-one years ago today, Colonel Claus von Stauffenberg walked into Adolf Hitler’s Wolf’s Lair bunker with a briefcase containing enough explosives to change the course of history. The assassination attempt failed, but Stauffenberg’s courage in the face of overwhelming evil offers puzzling lessons for our current moment — particularly as we navigate the transformative power of artificial intelligence.
The parallels are uncomfortable, and useful to examine. Then, as now, individual acts of moral courage were essential to preserving human agency in the face of systems that seemed beyond individual control. High-ranking German officials recognized what many contemporaries refused to see: that passive compliance with destructive systems was itself a moral choice.
Today, AI systems are being deployed across society at new speed, often without adequate consideration of their long-term implications. Many of us assume that someone else — tech companies, governments, international bodies — will ensure AI serves human flourishing. This assumption is dangerous. AI development is not a natural phenomenon happening to us; it is a series of human choices that requires active human agency, not passive acceptance.
The Necessity Of Hybrid Intelligence
Stauffenberg and his conspirators understood that opposing tyranny required more than good intentions — it demanded strategic thinking, careful planning, and the ability to work within existing systems while fundamentally challenging them. They needed what we might today call hybrid intelligence: combining human moral reasoning with systematic analysis and coordinated action.
The biggest performance improvements come when humans and smart machines work together, enhancing each other’s strengths. This principle applies not just to productivity but to the fundamental challenge of keeping AI aligned with human values. We cannot simply delegate AI governance to technologists any more than the German resistance could delegate their moral choices to military hierarchies.
Consider practical examples of where hybrid intelligence is essential today:
- In hiring: Rather than letting AI screening tools make hiring decisions autonomously, HR professionals must actively audit these systems for bias, ensuring they enhance rather than replace human judgment about candidates’ potential.
- In healthcare: Diagnostic AI should amplify doctors’ abilities to detect disease patterns while preserving the crucial human elements of patient care, empathy, and complex ethical reasoning.
- In education: Learning algorithms should personalize instruction while teachers maintain agency over pedagogical approaches and ensure no student is reduced to their data profile.
Double Literacy: The Foundation Of Agency
The German resistance succeeded in part because its members possessed both military expertise and moral clarity. They could operate effectively within existing power structures while maintaining independent judgment about right and wrong. Today’s equivalent is double literacy — combining algorithmic literacy with human literacy.
Algorithmic literacy means understanding AI’s capabilities and constraints — how machine learning systems are trained, what data they use, and where they typically fail. Human literacy encompasses our understanding of aspirations, emotions, thoughts, and sensations across scales — from individuals to communities, countries, and the planet. Leaders don’t need to become programmers, but they need both forms of literacy to deploy AI effectively and ethically.
Practical double literacy looks like:
- Having a holistic understanding of our own human strengths and weaknesses, our ways of thinking, feeling and interacting as part of a social kaleidoscope.
- Understanding enough about machine learning to ask meaningful questions about training data and algorithmic bias (algorithmic literacy)
- Recognizing how AI systems affect human motivation, creativity, and social connection (human literacy)
- Knowing how to identify when AI systems are being used to avoid rather than enhance human responsibility
- Building capacity to engage in public discourse about AI governance with both technical accuracy and understanding of human needs at individual and collective levels
Every Small Action Matters
Stauffenberg and other members of the conspiracy were arrested and executed on the same day. The immediate failure of the July 20 plot might suggest that individual actions are meaningless against overwhelming systemic forces. But this interpretation misses the deeper impact of moral courage.
The resistance’s willingness to act, even against impossible odds, preserved human dignity in the darkest possible circumstances. It demonstrated that systems of oppression require human compliance to function, and that individual refusal to comply — however small — matters morally and strategically.
Similarly, in the AI age, every decision to maintain human agency in the face of algorithmic convenience is significant. When a teacher insists on personally reviewing AI-generated lesson plans rather than using them blindly, when a manager refuses to outsource hiring decisions entirely to screening algorithms, when a citizen demands transparency in algorithmic decision-making by local government — these actions preserve human agency in small but crucial ways.
The key is recognizing that these are not merely personal preferences but civic responsibilities. Just as the German resistance understood their actions in terms of duty to future generations, we must understand our choices about AI as fundamentally political acts that will shape the society we leave behind.
Practical Takeaway: The A-Frame For Civil Courage
Drawing from both Stauffenberg’s example and current research on human-AI collaboration, here is a practical framework for exercising civil courage in our hybrid world:
Awareness: Develop technical literacy about AI systems you encounter. Ask questions like: Who trained this system? What data was used? What are its documented limitations? How are errors detected and corrected? Stay informed about AI developments through credible sources rather than relying on marketing materials or sensationalized reporting.
Appreciation: Recognize both the genuine benefits and the real risks of AI systems. Avoid both uncritical enthusiasm and reflexive opposition. Understand that the question is not whether AI is good or bad, but how to ensure human values guide its development and deployment. Appreciate the complexity of these challenges while maintaining confidence in human agency.
Acceptance: Accept responsibility for active engagement rather than passive consumption. This means moving beyond complaints about “what they are doing with AI” to focus on “what we can do to shape AI.” Accept that perfect solutions are not required for meaningful action — incremental progress in maintaining human agency is valuable.
Accountability: Take concrete action within your sphere of influence. If you’re a parent, engage meaningfully with how AI is used in your children’s education. If you’re an employee, participate actively in discussions about AI tools in your workplace rather than simply adapting to whatever is implemented. If you’re a citizen, contact representatives about AI regulation and vote for candidates who demonstrate serious engagement with these issues.
For professionals working directly with AI systems, accountability means insisting on transparency and human oversight. For everyone else, it means refusing to treat AI as a force of nature and instead recognizing it as a set of human choices that can be influenced by sustained civic engagement.
The lesson of July 20, 1944, is not that individual action always succeeds in its immediate goals, but that it always matters morally and often matters practically in ways we cannot foresee. Stauffenberg’s briefcase bomb failed to kill Hitler, but the example of the German resistance helped shape post-war democratic institutions and continues to inspire moral courage today.
As we face the challenge of ensuring AI serves human flourishing rather than undermining it, we need the same combination of technical competence and moral clarity that characterized the July 20 conspirators. The systems we build and accept today will shape the world for generations. Like Stauffenberg, we have a choice: to act with courage in defense of human dignity, or to remain passive in the face of forces that seem beyond our control but are, ultimately, the product of human decisions.
The future of AI is not predetermined. It will be shaped by the choices we make — each of us, in small acts of courage, every day.
