algorithms
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Brain power
Do social media algorithms erode our ability to make decisions freely? The jury is out
Have you ever watched something because YouTube recommended it? You’ve probably been influenced by an algorithm. But underneath the algorithms…
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Brain power
How to remove biases from algorithms
The "train then mask" approach ensures that sensitive data is included when training algorithms, but then masked when actually being…
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Brain power
The risks involved in using AI to make human decisions
AI can be very helpful, but we can’t think of technology as separate from the issues going on in society.
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Brain power
Artificial intelligence is now part of our everyday lives – and its growing power is a double-edged sword
A major new report on the state of artificial intelligence (AI) identifies where AI is at today, and the promise…
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2020’s top 100 journal articles
Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligence [Top 100 research & commentary of 2020]
Three tactics for decolonial AI are put forward – a critical technical practice of AI, establishing reciprocal engagements and reverse…
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Brain power
Biases in algorithms hurt those looking for information on health
Just because YouTube recommends a video doesn't mean it has medically valid information.
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Brain power
From robodebt to racism: what can go wrong when governments let algorithms make the decisions
Algorithms can take much of the hard work out of tough decisions. But to avoid problems like the Robodebt debacle…
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2019’s top 100 journal articles
Radicalisation pathways and YouTube’s recommendation algorithms [Top 100 journal articles of 2019]
People need to take more responsibility for their information environment, and the knowledge management community can help to lead society…
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Brain power
How accountable should algorithms be?
An Algorithmic Impact Assessment (AIA) framework is advocated to support communities and stakeholders affected by AI decision systems.
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Brain power
Predictive algorithms are no better at telling the future than a crystal ball
Business managers often rely on predictive algorithms to make recruiting decisions that affect a company's bottom line. But these kinds…
