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72 books
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90 voters
Jess Ashley
https://www.goodreads.com/jessashley
“Many presume that integrating more advanced automation will directly translate into productivity gains. But research reveals that lower-performing algorithms often elicit greater human effort and diligence. When automation makes obvious mistakes, people stay attentive to compensate. Yet flawless performance prompts blind reliance, causing costly disengagement. Workers overly dependent on accurate automation sleepwalk through responsibilities rather than apply their own judgment.”
― Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype
― Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype
“Scientists and inventors alike, they first guess a new explanation—a hypothesis—as wild and innovative as they can conjure. And then they test it rigorously, their hearts filled with the hope they’ll find a door or a window that reframes their understanding of the universe, of life, of a flower, or a cure for cancer. And it all starts with a guess, a good explanation as unlikely as it is plausible. A story at the knife’s edge of innovation, bleeding truth and pushing the limits of knowledge further afield. That impossibly sharp place where dreams and reality converge. A hard-to-vary idea as powerful as the one that broke Einstein’s General Relativity and his assumption that the laws of nature don’t depend on the motion of an observer.”
― Parity
― Parity
“The lack of transparency regarding training data sources and the methods used can be problematic. For example, algorithmic filtering of training data can skew representations in subtle ways. Attempts to remove overt toxicity by keyword filtering can disproportionately exclude positive portrayals of marginalized groups. Responsible data curation requires first acknowledging and then addressing these complex tradeoffs through input from impacted communities.”
― Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype
― Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype
“Every piece of data ingested by a model plays a role in determining its behavior. The fairness, transparency, and representativeness of the data reflect directly in the LLMs' outputs. Ignoring ethical considerations in data sourcing can inadvertently perpetuate harmful stereotypes, misinformation, or gaps in knowledge. It can also infringe on the rights of data creators.”
― Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype
― Introduction to Large Language Models for Business Leaders: Responsible AI Strategy Beyond Fear and Hype
“The ones who claim the universe is a dark forest where you either kill or be killed, using safety and security as excuses to maintain the status quo of archaic brains no longer useful in progressive, advanced societies.
In my homeland, there was a time when the Virunga National Park wasn’t shrouded in darkness, but was the living, breathing heart of the Congo, with its rich biodiversity and ecological beauty. Non-human hearts of every shape and size shared its gifts. Our forests were never dark before the greed of men came to cast a shadow. Even the cunning leopard, stealthy and powerful, only claimed the life it needed to sustain itself. You may belong in a dark forest, but our worlds and our universes are not one, so get out of our way! Our forests are big hearted and so are we.”
― Is Neurocide the Same as Genocide? : And Other Dangerous Ideas
In my homeland, there was a time when the Virunga National Park wasn’t shrouded in darkness, but was the living, breathing heart of the Congo, with its rich biodiversity and ecological beauty. Non-human hearts of every shape and size shared its gifts. Our forests were never dark before the greed of men came to cast a shadow. Even the cunning leopard, stealthy and powerful, only claimed the life it needed to sustain itself. You may belong in a dark forest, but our worlds and our universes are not one, so get out of our way! Our forests are big hearted and so are we.”
― Is Neurocide the Same as Genocide? : And Other Dangerous Ideas
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Jess ’s 2025 Year in Books
Take a look at Jess ’s Year in Books, including some fun facts about their reading.
1,773 books
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119 friends
2,381 books
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807 friends
3,952 books
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137 friends
3,674 books
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149 friends
615 books
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88 friends
691 books
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2,087 books
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4,266 books
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1,521 friends
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