Coded Bias
Why this pick
A clear-eyed investigation of algorithmic bias and facial-recognition systems, sharing iHuman’s urgency about asking ethical questions before powerful AI becomes embedded in society.
A FILM WORTH A CLOSER LOOKTHE FEATURE PRESENTATION
IF THIS ONE STAYED WITH YOU
Keep the feeling.
SIMILAR PICKS / A PERSONAL CONNECTION
Why this pick
A clear-eyed investigation of algorithmic bias and facial-recognition systems, sharing iHuman’s urgency about asking ethical questions before powerful AI becomes embedded in society.
Why this pick
Like iHuman, it brings technologists and critics together to weigh AI’s extraordinary promise against the social and existential risks of racing ahead without safeguards.
Why this pick
A tightly focused companion to iHuman’s concerns, examining how automation transfers consequential decisions to machines and obscures responsibility when people are harmed.
Why this pick
It extends iHuman’s technology-and-accountability tension into everyday life, using insiders’ perspectives to explore how data-driven systems shape behaviour at massive scale.
Why this pick
Herzog’s reflective, unsettling technology essay shares iHuman’s fascination with innovation while making room for ambiguity, human vulnerability, and unforeseen consequences.
Finding the atmosphere, tension and little details that made this one stay with you.
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01 / THE STORY
Artificial Intelligence (AI) is possibly the most powerful technology of our time. It has the potential to solve humanity’s biggest challenges yet some fear AI will be our downfall. iHUMAN follows pioneers at the frontline of the race to develop the ever more sophisticated AI to find the questions we need to ask at this crucial point in history.
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02 / FACES IN THE FRAME
Self - Cosmologist
Self - Sociologist (as Zeynep Tüfeçki)
Self - AI Researcher
Self - AI Researcher
Self - AI Researcher (as Jürgen Schmidhuber)
Self - AI Researcher
Self - Psychologist
Self - Journalist