Tag: AI

3 Things to Look for to Determine If AI Is Being Used Ethically | Entrepreneur

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AI has been a topic of great interest — we’re all amazed by its potential and the impact it may have on our lives, mostly because AI is the first tool in history that can make decisions by itself. Take ChatGPT as an example. It embodies more knowledge than any human has ever known. This tool can be a force for enormous good. Imagine what AI can do in healthcare and its enormous databases of genes, medicines and disease symptoms, and drug interactions, for example? It can literally save lives. But that’s also a huge responsibility we’re putting on a technology that we haven’t even begun to fully understand.

As investors, entrepreneurs, and users, we directly impact where the technology will go, and we are setting the stage for where it will end up.

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Google adjusts privacy policy allowing use of public data for AI training | Mashable

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Google can now use public data to help train and create AI products, according to new privacy policy changes.

As of July 1, the tech giant’s newly adjusted policy reads: “Google uses information to improve our services and to develop new products, features and technologies that benefit our users and the public. For example, we use publicly available information to help train Google’s AI models and build products and features like Google Translate, Bard, and Cloud AI capabilities.”

Previously, the policy only stated that publicly available information could be used to help train Google “language models” and gave a single mention of Google Translate.

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AWS Launches $100M Generative AI Innovation Center | Small Biz Trends

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Amazon Web Services, Inc. (AWS), the cloud computing subsidiary of Amazon, has announced its significant investment in the development of generative artificial intelligence (AI). With a $100 million commitment, the new AWS Generative AI Innovation Center aims to support customers and partners globally in their quest to harness the potential of generative AI. This move, with its direct engagement approach, could open up fresh opportunities for small business owners to innovate and leverage AI technology.

Generative AI, a type of machine learning (ML) that can create new data instances like images, sound, and text, can prove transformative across industries. The AWS Generative AI Innovation Center seeks to leverage this capability, assisting businesses in envisioning, designing, and launching new generative AI products, services, and processes. This initiative builds on AWS’s longstanding commitment to AI technology development, and its goal to bring this technology to customers and partners worldwide.

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6 takeaways from the OpenAI senate hearing | Mashable

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Apparently, one of generative AI’s extraordinary capabilities is unifying politicians, the public, and the private sector in regulating it.

We saw that today in a Senate Judiciary Committee hearing(opens in a new tab) about how to govern AI. OpenAI CEO Sam Altman, IBM chief privacy and trust officer Christina Montgomery, and NYU emeritus professor Gary Marcus testified in front of the privacy, technology, and law subcommittee about what to do now that generative AI has been freed from Pandora’s Box. Altman was open and cooperative, even advocating for regulation of ChatGPT and generative AI. But that seemed to have a disarming effect on the subcommittee, who asked mostly softball questions.

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AI-Powered Reels recommendations are keeping us on Instagram | Mashable

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Unfortunately, it turns out we actually kind of like watching Instagram Reels.

When Instagram first launched Reels and promised to pivot the social media platform to video, users were livid. We threw fits. Kylie Jenner demanded that we “make Instagram Instagram again.” And, at first, Reels flopped as a lame version of TikTok.

But, at Meta’s earnings call on Wednesday, Mark Zuckerberg reported that time spent on Instagram had risen by 24 percent, an engagement increase he blames on Instagram Reels.

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Snapchat’s AI chatbot is now free for all global users, says the AI will later ‘Snap’ you back | TechCrunch

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Snapchat’s AI chatbot is now opening up to a global audience, the company announced today at its Snap Partner Summit. Initially launched in February, the feature originally allowed Snapchat’s paid subscribers to chat with an AI chatbot powered by OpenAI’s GPT technology directly in its app. Now it will be available for free. To date, users have sent nearly 2 million messages per day using the chatbot, Snap noted. With today’s global expansion, the feature is also being upgraded with new functionality, including the ability to add My AI to group chats, get recommendations for places on Snap Map and Lenses, and share Snaps with My AI and receive chat replies.

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The Census Is Broken. Can AI Fix It? | WIRED

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GETTING A CENSUS count wrong can cost communities big. A March 10 report from the US Census Bureau showed an overcount of white and Asian people and an undercount of people who identify as Black, Hispanic or Latino, or multiracial in 2020, a failure that has led to renewed calls to modernize the census.

Progress reaching historically undercounted groups has been slow, and the stakes are high. The once-a-decade endeavor informs the distribution of federal tax dollars and apportions members of the House of Representatives for each state, potentially redrawing the political map. According to emails obtained through a records request, Trump administration officials interfered in the population count to produce outcomes beneficial to Republicans, but problems with the census go back much further.

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The industrial data revolution: What founders got wrong | TechCrunch

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In February 2010, The Economist published a report called “Data, data everywhere.” Little did we know then just how simple the data landscape actually was. That is, comparatively speaking, when you consider the data realities we’re facing as we look to 2022.

In that Economist report, I spoke about society entering an “Industrial Revolution of Data,” which kicked off with the excitement around Big Data and continues into our current era of data-driven AI. Many in the field expected this revolution to bring standardization, with more signal and less noise. Instead, we have more noise, but a more powerful signal. That is to say, we have harder data problems with bigger potential business outcomes.

And, we’ve also seen big advances in artificial intelligence. What does that mean for our data world now? Let’s take a look back at where we were.

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These Robots Use AI to Learn How to Clean Your House | WIRED

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INSIDE AN ORDINARY-LOOKING home, a robot suspended from the ceiling slowly expands arms holding a sponge, before carefully wiping a kitchen surface clean. Nearby, another robot gently cleans a flat-screen television, causing it to wobble slightly.

The cleaning robots live inside a mock home located at the Toyota Research Institute in Los Altos, California. The institute’s researchers are testing a range of robot technologies designed to help finally realize the dream of a home robot.

After looking at homes in Japan, which were often small and cluttered, the researchers realized they needed a creative solution. “We thought, you know, how can we use the ceiling?” says Max Bajracharya, VP of Robotics at TRI.

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