Tag Collection
#inequality
Explore Books, Authors and Common Highlights on Inequality
Showing 24 of 24 highlights
The impact of technology on inequality is profound and requires thoughtful policy responses.
Data-driven decisions can exacerbate existing biases rather than eliminate them.
Her story is a story of racism in the medical community.
The future is already here — it's just not very evenly distributed.
From The Inevitable by Kevin Kelly
The gap between the rich and poor can lead to social unrest.
From The Changing World Order by Ray Dalio
Mathematical models can perpetuate inequality and harm the most vulnerable.
The future is already here — it's just not very evenly distributed.
From The Diamond Age by Neal Stephenson
The future is already here — it's just not very evenly distributed.
From The Neuromancer by William Gibson
Women of color often have to work twice as hard to be seen.
The data that powers AI systems is often rooted in historical inequalities.
From Atlas of AI by Kate Crawford
The algorithms that govern our lives are often opaque, and they create a feedback loop that reinforces inequality.
The future is already here — it's just not very evenly distributed.
From Snow Crash by Neal Stephenson
The impact of the internet and digital technologies has been transformative but uneven across sectors.
Better never means better for everyone... It always means worse, for some.
From The Handmaid's Tale by Margaret Atwood
The hidden costs of cheap food are borne by those who can least afford it.
The disparity in income and wealth has widened significantly since the late 20th century.
The differences in wealth and power among the world's peoples are not due to inherent differences in intelligence or ability.
From Guns, Germs, and Steel by Jared Diamond
Income inequality has grown significantly in recent decades, leading to social and economic tensions.
Women are often judged more harshly than men.
From The Likeability Trap by Alicia Menendez
The American Dream is increasingly out of reach for many, challenging the notion of equal opportunity.
The data that powers AI is often a reflection of existing inequalities.
From Atlas of AI by Kate Crawford
Women are often judged by their ability to be liked rather than their ability to be effective.
From The Likeability Trap by Alicia Menendez
The divide between those who have access to AI and those who do not will determine the future of societies.
From AI Superpowers by Kai-Fu Lee
Algorithms are not neutral — they reflect the biases of their creators.