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MIT Technology Review @techreview
If you haven't considered ethics, you might end up with damage to your reputation. Users need to trust the process, @HaniyehMah says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
A growing number of people are creating individualized, creative sites that eschew the one-size-fits-all look and feel of social media. #socialmedia #ar #vr #biohacking #quantifiedself #tech #technews #mit #mittechnologyreview #technologyreview #techreview https://t.co/SJvlfq3GNq — PolitiTweet.org
MIT Technology Review @techreview
@HaniyehMah is the Global AI Ethicist at @DataRobot. Thinking about ethics should happen at every stage of a project, she says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@rajcs4 We’ve just heard from two great speakers about how better data leads to better AI. But “better” isn’t just about the quality of your labelling, or data curation. It’s about ethics too. AI is not going to be widely and reliably used until we get this right too. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@rajcs4 Is synthetic data an extension of programmatic labeling? Absolutely. It's compatible, Shah says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@rajcs4 What does the approach change? What does it make possible that wasn't possible before? @rajcs4 says it creates collaboration between subject matter experts and data scientists. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@rajcs4 Programmatic labeling can dramatically accelerate the speed of AI development, @rajcs4 says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@rajcs4 Collaborating with subject matter experts can improve programmatic labeling and a model's overall performance, Shah says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@rajcs4 Data-labeling takes time. But programmatic labeling turns labeling into code. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Data labeling is key to determining the success or failure of AI applications. @rajcs4 is covering how implementing a data-first approach can transform AI inference, resulting in better models that make better decisions. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Moving to our next speaker, we're hearing from @rajcs4 of @snorkelai on the mechanics of data-first AI. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@AndrewYNg What skills should be developed to be successful for data-centric AI? Data science skills will be important for a long time, Ng says. But keep adding to those skills. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@AndrewYNg We've been feeding AI a lot of junk food, but we can engineer high-quality food for AI too, @AndrewYNg says. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
RT @AmericanRando: Important point on AI - if you don’t have lots of data because you’re in a niche field, AI adoption might not be feasibl… — PolitiTweet.org
MIT Technology Review @techreview
RT @landingAI: We're live at #EmTechDigital where our founder and CEO @AndrewYNg and host @strwbilly are talking about #DataCentricAI! ht… — PolitiTweet.org
MIT Technology Review @techreview
"There's a lot of room for innovation in storage." - @AndrewYNg #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
Education and tools will be key to data-centric AI. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@strwbilly: How do you standardize data curation? @AndrewYNg says it's early in the development of data-centered AI, but his team has been working on tools to recognize discrepancies in labeling. #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
@AndrewYNg @landingAI "We should collect more data." - @AndrewYNg #EmTechDigital — PolitiTweet.org
MIT Technology Review @techreview
RT @landingAI: We're live at #EmTechDigital where our founder and CEO @AndrewYNg and host @strwbilly are talking about #DataCentricAI! ht… — PolitiTweet.org
MIT Technology Review @techreview
In our opening keynote with @AndrewYNg of @landingAI, we’re going to address a decade-old legacy, that algorithms can do remarkable things. A focus on better data promises to bring the benefits of AI to a wider range of people, and it may help make AI safer and more reliable. — PolitiTweet.org
MIT Technology Review @techreview
Senior Editor for AI @strwbilly opening the show! In our first block of sessions, we'll talk about the new era of deep learning as it moves into its second decade. #EmTechDigital https://t.co/QqtCNRm1i2 — PolitiTweet.org
MIT Technology Review @techreview
Chatbots could one day replace search engines. Here’s why that’s a terrible idea. https://t.co/rTWufezSfG — PolitiTweet.org
MIT Technology Review @techreview
[SPONSORED] Business Lab podcast: “If innovation for equity and inclusion were that easy, it would've been done already,” says HPE's VP of innovation for social impact, @JaniceZdankus. Listen as she dives in on bias in tech. (With @HPE) https://t.co/wj0ZwOsxLt — PolitiTweet.org
MIT Technology Review @techreview
Welcome to #EmTechDigital! Our signature AI conference is back, in-person and online. We'll have 30+ speakers over the next two days. Join us and grab a virtual ticket here: https://t.co/VP529x0qF6 — PolitiTweet.org
MIT Technology Review @techreview
[SPONSORED] "We are not going to have a sustainable society until we learn to build products—from mobile phones to buildings to large pieces of infrastructure—that survive the long-term.” — @autodesk’s VP of research, Mike Haley. (With @autodesk) https://t.co/Y36X6b3Lcr — PolitiTweet.org
MIT Technology Review @techreview
Genomic surveillance of SARS-CoV-2 is helping us spot new variants and figure out how to respond. What else could it help us do? https://t.co/gWhkj9qBPB — PolitiTweet.org
MIT Technology Review @techreview
It's all fun and games until the deepfake gets too real. #ai #artificialintelligence #machinelearning #robots #machine #facerecognition #voiceassistant #deeplearning #aibias #aiethics #tech #technews #mit #mittechnologyreview #technologyreview #techreview https://t.co/tS8dHf5hNJ — PolitiTweet.org
MIT Technology Review @techreview
IBM’s chess-playing supercomputer Deep Blue was eclipsed by the neural-net revolution. Now, 25 years on, the machine may get the last laugh. https://t.co/d3Fo3jIsyH — PolitiTweet.org
MIT Technology Review @techreview
Vadim Chumak monitored radiation after Chernobyl. He explains what could go wrong now, and says he’s “old enough to sacrifice” his life. https://t.co/BnKBPZcCZD — PolitiTweet.org
