Bias Unlearned — Series One
The 10-Episode Series
The series moves from bias and language through context, behavior, learning, platform design, algorithms, authority, and the human-first future of AI.
Total runtime: 6 hours, 19 minutes, 28 seconds.
Inside the Series
Explore Each Episode
All ten episodes are included with purchase of the complete series. Research notes and references remain publicly available.
Bias Is More Than Prejudice
Bias is broader than overt prejudice. The series begins by widening the definition and asking whether AI can help us recognize patterns in our own thinking and communication.
Included in the complete series.
Episode Details
This episode establishes the research foundation for the series, connecting human cognition, implicit associations, algorithmic bias, harmful language, reflective intervention, and the historical development of artificial intelligence.
Bias Lives in Language
Bias does not always arrive as an obvious slur. It can appear through ordinary wording, assumptions, implication, and subtle escalation.
Included in the complete series.
Episode Details
This episode explores linguistic intergroup bias, implied social meaning, moral outrage, toxic conversation dynamics, and unintended bias in language-classification systems.
Intent vs. Impact
What happens when what we mean is not what someone else hears?
Included in the complete series.
Episode Details
This episode examines speaker meaning, interpretation, attribution, computer-mediated communication, and responsible AI—asking how systems can support reflection without pretending to know a person’s intent.
Context Changes Everything
The same words can mean different things depending on history, culture, relationships, power, timing, and setting.
Included in the complete series.
Episode Details
This episode looks at contextual reasoning in language models, personalization, sycophancy, privacy, and what can happen when systems infer too much from incomplete context.
The Reflective Pause
What happens in the few seconds between impulse and action?
Included in the complete series.
Episode Details
This episode explores pre-send reconsideration prompts, attention nudges, emotion regulation, social reinforcement, and proactive guidance before a message becomes a consequence.
Can AI Help Us Learn Better Communication?
If AI repeatedly helps us pause and reconsider, can that feedback eventually become learning?
Included in the complete series.
Episode Details
This episode connects habit formation, feedback, behavior-change techniques, adaptive support, communication training, intelligent tutoring, and the tension between useful assistance and over-reliance.
Designing Environments That Help Us Communicate Better
Communication does not happen in isolation. The environment itself shapes participation and behavior.
Included in the complete series.
Episode Details
This episode examines visible norms, choice architecture, incivility, interface design, platform affordances, and the limits of light-touch interventions.
When Algorithms Shape Human Behavior
A feed is not simply a list of content. It is a sequence of decisions about attention.
Included in the complete series.
Episode Details
This episode explores human–AI feedback loops, recommendation systems, algorithmic versus chronological feeds, selective exposure, amplification, and the continuing role of human choice.
Who Gets to Decide What Is Harmful?
AI can be capable of making a judgment without being entitled to make the final judgment.
Included in the complete series.
Episode Details
This episode examines cross-cultural disagreement, moderation inequity, false positives, explainability, uncertainty, human review, and the difference between technical accuracy and legitimacy.
The Human-First Future of AI
The final episode asks what role artificial intelligence should ultimately have in human life.
Included in the complete series.
Episode Details
The series closes with human–AI collaboration, automation bias, meaningful oversight, decision authority, accountability, and a human-first approach to increasingly capable systems.