Investigates biases in futuristic societies through speculative fiction, highlighting implications for social dynamics.
Key Points
The research aims to explore how bias manifests in speculative fiction depicting augmented humans and AI, examining both inherited and novel forms of discrimination.
Examined narratives from speculative fiction works such as Luminous and Machinehood.
Analyzed dimensions of bias: ontological, epistemological, and ethical.
Conducted close textual analysis to uncover representation of discrimination.
Found traditional biases such as race, gender, and class can be displaced or re-entrenched in fictional futures.
Identified new forms of bias emerging in posthuman societies, linked to data access and technological enhancements.
Demonstrated that logics of exclusion often remain cloaked in rhetoric that appears neutral or objective.