EthicsNet, a non-profit, is building a community with the purpose of co-creating a dataset for machine ethics algorithms. Help us to enable kinder machines.
“...An expert human pathologist can detect cancers with 96.6% accuracy. This is better than an AI program, which can only manage 92.5%. However, when the two work together, their combined accuracy is over 99%.”
https://t.co/qCf8y1TIhG
Agree or disagree?
“But if AI research yields a new ideology centred around the notion of perfectionism and maximum productivity, then it will be a destructive force…”
https://t.co/9iZmp0g5MC
“These researchers believe that aggregating the collective moral views of a crowd on various issues...would result in a system that’s better than one built by an individual.”
https://t.co/cIJmOHArmV
“Artificial intelligence and machine learning algorithms rely on data, which is not always representative of minority populations and women.”
https://t.co/5SgzjWXVKt
“Research in anthropology shows that emotions are expressed differently across cultures and societies...In short, ERT is built on shaky scientific ground.”
https://t.co/au9pkj69E5
In the Cold War, Murray recalled, tank gunners trained on flash cards of NATO and Warsaw Pact equipment. After decades of AI advances, “we have algorithms today on platforms we’re experimenting with that can get to about 98.8 percent accuracy.”
https://t.co/wRzUaW47Yz
“Overall, the experiments showed that the algorithms had a significant influence on participants’ decisions of whom to vote for or message. The opposite effect was seen for dating decisions.”
https://t.co/8JIJFY2Ytm
"Beijing Academy of Artificial Intelligence (BAAI), a government-sponsored research lab in China is testing a powerful new language algorithm, it is aiming for Big AI Breakthroughs.
https://t.co/2knYhqJouJ
Sundararaghavan: Generative modeling allows the discovery of knowledge and is a strength for quantum computing algorithms. Generative modeling entails the development of probabilistic models of higher complexity than discriminative models.
https://t.co/v6KlRo21IK
Much larger on-chip memory capacity "will help with things like Transformer, for soft attention," said Hinton, referring to the wildly popular autoregressive neural network developed at Google in 2017.
https://t.co/NCd9DirI4p
Quinn believes institutions of higher education have a role in educating the public and legislators on finding a middle ground between advancing AI technology and protecting basic human rights.
https://t.co/EsGRvgS5Uv
#AIEthics#ArtificialIntelligence#KinderMachines
"Historically, emotions have often been considered a “separate” human faculty, well distinct from cognition...this point of view has been recently challenged by various studies showing how much affective responses can influence cognitive processes..."
https://t.co/wX8h5hjJ8N
"People have been trying to sum up what we mean by moral behavior in humans for thousands of years...Even if we get guidelines on robo-ethics the size of the federal code it would still fall short. Morality is impossible to write in formal terms."
https://t.co/dgEwRhBrGX
The next generation, which is starting to hit the market now, will be document automation and legal research and writing tools, as well as predictive technology tools.
https://t.co/4gLcgI2uC8