Evaluating social and ethical risks from generative AI
Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems
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Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems
*= Equal Contributors Recommendation systems in large-scale online marketplaces are essential to aiding users in discovering new content. However, state-of-the-art systems for item-to-item recommendation tasks are often based on a shallow level of contextual relevance, which can make the system insufficient for tasks where item relationships are more nuanced. Contextually relevant item pairs can sometimes …
Read more “Identifying Controversial Pairs in Item-to-Item Recommendations”
How Netflix’s Container Platform Connects Linux Kernel Panics to Kubernetes Pods By Kyle Anderson With a recent effort to reduce customer (engineers, not end users) pain on our container platform Titus, I started investigating “orphaned” pods. There are pods that never got to finish and had to be garbage collected with no real satisfactory final status. …
It is a new day for James, a new IT administrator. Today, he has to figure out an order for a whole batch of mobile devices for his colleagues, who have chosen both iOS and Android smartphones. He needs to activate the device lifecycle program and do all the deployment and endpoint security tasks afterward. …
Posted by Xiaoran “Van” Fan, Experimental Scientist, and Trausti Thormundsson, Director, Google The market for true wireless stereo (TWS) active noise canceling (ANC) hearables (headphones and earbuds) has been soaring in recent years, and the global shipment volume will nearly double that of smart wristbands and watches in 2023. The on-head time for hearables has …
Read more “Audioplethysmography for cardiac monitoring with hearable devices”
Generative artificial intelligence is transforming how enterprises do business. Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. Enterprises are using generative AI specifically to power their marketing efforts through emails, push notifications, and other outbound communication channels. Gartner predicts that “by 2025, 30% of outbound marketing messages …
Read more “Elevate your marketing solutions with Amazon Personalize and generative AI”
To support the safety of highly-capable AI systems, we are developing our approach to catastrophic risk preparedness, including building a Preparedness team and launching a challenge.
From traditional enterprises to the most innovative startups, organizations are using the public cloud. In fact, ESG Research found that 91% of all applications will eventually be hosted in the public cloud. That much investment has necessitated the FinOps movement, a cloud financial management discipline designed to bring financial accountability to the variable, consumption-based spend …
Read more “Operationalize and automate FinOps with Apptio Cloudability and IBM Turbonomic”
Posted by Anoop Sinha, Technology and Society, and Marian Croak, Google Research, Responsible AI and Human Centered Technology team Standard benchmarks are agreed upon ways of measuring important product qualities, and they exist in many fields. Some standard benchmarks measure safety: for example, when a car manufacturer touts a “five-star overall safety rating,” they’re citing …
Read more “Supporting benchmarks for AI safety with MLCommons”
Amazon Kendra is an intelligent search service powered by machine learning (ML). Amazon Kendra helps you easily aggregate content from a variety of content repositories into a centralized index that lets you quickly search all your enterprise data and find the most accurate answer. Drupal is a content management software. It’s used to make many …
Read more “Intelligently search Drupal content using Amazon Kendra”