2016
Partnership on AI was formed in 2016 to bring diverse perspectives together on the ethical challenges of artificial intelligence.
“The Partnership on AI was formed in 2016 with the belief that we needed to bring diverse perspectives together”
Topic
Partnership on AI
13 facts from 3 episodes, in date order. These are what speakers said on the shows, each linked to the moment it was said. They aren't independently verified.
2016
The first investment in Partnership on AI came from six large technology companies.
“The very first investment that was made into the Partnership on AI was by the six large technology companies.”
2016
When Partnership on AI began, deep learning was being deployed in internet search, mapping and recommendation engines, raising ethical questions.
“deep learning, pre generative AI, that wave of AI was really starting to be deployed in internet search mechanisms, in mapping mechanisms and recommendation engines.”
Undated
The Alan Turing Institute in the UK is among the research institutes that joined Partnership on AI.
“organizations like the Alan Turing Institute in the UK and beyond.”
Undated
Eighteen organizations had signed up to Partnership on AI's framework for responsible development of synthetic media.
“now have eighteen organizations signed up and evolving with us is the framework for responsible development of synthetic media.”
Undated
The synthetic media framework sets out responsibilities for creators, developers and deployers, including platforms, to disclose AI-generated media.
“What are the responsibilities of creators, developers, deployers, that's platforms and otherwise, when it comes to thinking about how to disclose appropriately”
Undated
Partnership on AI issued shared prosperity guidelines on deploying AI in ways that benefit workers.
“We issued a set of guidelines, we call them the shared prosperity guidelines, which really were trying to get very specific.”
Undated
The shared prosperity guidelines were based on interviews and research with workers about when workplace AI helped them.
“They were based on a series of interviews and some research that we've done with workers themselves”
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Partnership on AI worked with researchers years earlier to develop an AI incident reporting mechanism.
“We were really happy a number of years ago to work with some researchers to develop an incident reporting mechanism, which is now thriving.”
Undated
Partnership on AI produced guidance covering 22 points from pre-deployment research and development to post-deployment monitoring for disclosing and managing risks.
“What does it mean at twenty two pa- twenty two places along the development and deployment ecosystem to be consciously disclosing and attending to risks”
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Rebecca Finlay says companies tell the Partnership on AI they feel alone as they try to separate the risks and benefits of deploying generative AI.
“one of the things that I hear from companies right now is they feel alone as they're trying to disentangle the risks of deploying these technologies”
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At Partnership on AI convenings, companies said their privacy teams often block collecting demographic data needed for fairness assessments.
“if we want to collect data that has demographic information in it, our privacy team will just shut that down.”
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Alice Xiang started a research lab at the Partnership on AI focused on algorithmic bias, where data availability quickly emerged as a key issue.
“I started up a research lab focused on these areas, and pretty quickly, these issues of data availability became quite salient.”
Episodes