The Biden administration ordered the creation of an AI safety board last year as part of a sweeping executive order that focuses on regulating AI development. In the Homeland Security’s website, it said the board “includes AI experts from the private sector and government that advise the Secretary and the critical infrastructure community.” Homeland Security secretary Alejandro Mayorkas told the Journal that the use of AI in critical infrastructure can greatly improve services — it can, for instance, speed up illness diagnoses or quickly detect anomalies in power plants — but they carry a significant risk which the agency is hoping to minimize with the help of this board.

That said, one can’t help but question if these AI tech leaders can provide guidance that aren’t meant to primarily serve themselves and their companies. Their work centers around advancing AI technologies and promoting their use, after all, while the board is meant to ensure that critical infrastructure systems are using AI responsibly. Mayorkas seems to be confident that they’ll do their jobs properly, though, telling the Journal that the tech leaders “understand the mission of this board,” and that it’s “not a mission that is about business development.”

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The AI auto-generates channel recaps to give people key highlights of stuff they missed while away from the keyboard or smartphone, for keeping track of important work stuff and office in-jokes. Slack says the algorithm that generates these recaps is smart enough to pull content from the various topics discussed in the channel. This means that you’ll get a paragraph on how plans are going for Jenny’s cake party in the conference room and another on sales trends or whatever.

There’s something similar available for threads, which are smaller conversations between one or a few people. The tool will recap any of these threads into a short paragraph. Customers can also opt into a daily recap for any channel or thread, delivered each morning.

Another interesting feature is conversational search. The various Slack channels stretch on forever and it can be tough to find the right chat when necessary. This allows people to ask questions using natural language, with the algorithm doing the actual searching.

These tools aren’t just for English speakers, as Slack AI now offers Japanese and Spanish language support. Slack says it’ll soon integrate some of its most-used third-party apps into the AI ecosystem. To that end, integration with Salesforce’s Einstein Copilot is coming in the near future.

It remains to be seen if these tools will actually be helpful or if they’re just more excuses to put the letters “AI” in promotional materials. I’ve been on Slack a long time and I haven’t encountered too many scenarios in which I’d need a series of auto-generated recaps, as longer conversations are typically relegated to one-on-one meetings, emails or video streams. However, maybe this will change how people use the service.

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First, the good news. Three minutes is huge. The previous version of the software maxed out at 90 seconds. Just imagine the fake birthday song you could make in the style of that one Rob Thomas/Santana track. Another boon? The tool is free and publicly available through the company’s website, so have at it.

It primarily works via text prompt, but there’s an option to upload an audio clip. The system will analyze the clip and produce something similar. All uploaded audio must be copyright-free, so this isn’t for the purposes of mimicking something that already exists. Rather, it could be useful for, say, humming a drum part or extending a 20 second clip into something longer.

Now, the bad news. This is still AI-generated music. It’s cool as a conversation piece and as an emblem of a possible future that’s great for tinkerers and bad for musicians, but that’s about it. The songs can actually sound nifty, at first, until the seams start showing. Then things get a bit creepy.

For instance, the system loves adding vocals, but not in any known human language. I guess it’s in whatever language that makes up the text in AI-generated images. The vocals sort of sound like actual people, and other times they sound Gregorian chanters filtered through outer space. It’s right smack dab in the middle of that uncanny valley. The Verge called the vocals “soulless and weird," comparing them to whale sounds. That tracks.

Stable Audio 2.0 makes the same weird little mistakes that all of these systems make, no matter the output type. Parts can vanish into thin air, replaced with something else. Sometimes melodic elements will double out of nowhere, like an audio version of those extra fingers in AI-generated images.

There’s also the, well, boring-ness of it all. This is music in name only. Without a human connection, what’s the point? I listen to music to get inside the head of another person or group of people. There’s no head to get inside of here, despite constant proclamations that artificial general intelligence (AGI) is only months away.

So, this tech is an absolute gift for those making silly birthday videos or bank hold music. For everyone else? Shrug. One thing I can say from personal experience: It’s pretty fast. The system concocted an absolutely terrifying big band song about my cat in around a minute.

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"Advancements in sensitive technologies and products in these sectors will accelerate the development of advanced computational capabilities that will enable new applications that pose significant national security risks, such as the development of more sophisticated weapons systems, breaking of cryptographic codes, and other applications that could provide these countries with military advantages," the executive order states.

The White House described the move as “narrowly targeted,” saying it was meant to bar the funding of “entities that engage in specific activities related to these technology areas that pose the most acute national security risks.” As The Washington Post notes, responsibility for enforcing the executive order would fall on the Treasury Secretary.

The executive order, which won’t go into effect until 2024, is hardly the first time the US has sought to limit the influence of Chinese tech firms in recent years. Both Biden and his predecessor imposed significant restrictions on Huawei. The White House has also limited the sale of supercomputing technology to Chinese firms and sought to block China’s access to advanced chip-making equipment. The Biden Administration has also pressured ByteDance, the Chinese owner of TikTok, to sell the popular app.

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Dr. Stephen Thaler sued the US Copyright Office after the agency rejected his second attempt to copyright an artwork titled A Recent Entrance to Paradise (pictured above) in 2022. The USCO agreed that the work was generated by an AI model that Thaler calls the Creativity Machine. The computer scientist applied to copyright the work himself, describing the piece “as a work-for-hire to the owner of the Creativity Machine.” He claimed that the USCO’s “human authorship” requirement was unconstitutional.

Howell cited rulings in other cases in which copyright protection was denied to artwork that lacked human involvement, such as the famous case of a monkey that managed to capture a few selfies. “Courts have uniformly declined to recognize copyright in works created absent any human involvement,” the judge wrote.

The judge noted that the growing influence of generative AI will lead to “challenging questions” about the level of human input that’s required to meet the bar for copyright protection, as well as how original artwork created by systems trained on copyrighted pieces can truly be (an issue that’s the subject of several other legal battles).

However, Howell indicated that Thaler’s case wasn’t an especially complex one, since he admitted that he wasn’t involved in the creation of A Recent Entrance to Paradise. “In the absence of any human involvement in the creation of the work, the clear and straightforward answer is the one given by the [Federal] Register: No,” Howell ruled. Thaler plans to appeal the decision.

According to Bloomberg, this is the first ruling in the US on copyright protections for AI-generated art, though it’s an issue that the USCO has been contending with for some time. In March, the agency issued guidance on copyrighting AI-generated images that are based on text prompts — generally, they’re not eligible for copyright protection. The agency has offered some hope to generative AI enthusiasts, though. “The answer will depend on the circumstances, particularly how the AI tool operates and how it was used to create the final work,” the USCO said. “This is necessarily a case-by-case inquiry.”

The agency has also granted limited copyright protection to a graphic novel with AI-generated elements. It said in February that while the Midjourney-created images in Kris Kashtanova’s Zarya of the Dawn were not eligible to be copyrighted, the text and layout of the work were.

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The link was deliberately included with the files so that interested researchers could download pretrained models — that part was no accident. Microsoft’s researchers used an Azure feature called “SAS tokens,” which allows users to create shareable links that give other people access to data in their Azure Storage account. Users can choose what information can be accessed through SAS links, whether it’s a single file, a full container or their entire storage. In Microsoft’s case, the researchers shared a link that had access to the full storage account.

Wiz discovered and reported the security issue to Microsoft on June 22, and the company had revoked the SAS token by June 23. Microsoft also explained that it rescans all its public repositories, but its system had marked this particular link as a “false positive.” The company has since fixed the issue, so that its system can detect SAS tokens that are too permissive than intended in the future. While the particular link Wiz detected has been fixed, improperly configured SAS tokens could potentially lead to data leaks and big privacy problems. Microsoft acknowledges that “SAS tokens need to be created and handled appropriately” and has also published a list of best practices when using them, which it presumably (and hopefully) practices itself.

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The company has made Gemma available in two different sizes — Gemma 2B and Gemma 7B — which both come with pre-trained and instruction-tuned variants and are both lightweight enough to run directly on a developer's laptop or desktop computer. Google says Gemma surpasses much larger models when it comes to key benchmarks and that both model sizes outperform other open models out there.

In addition to being powerful, the Gemma models were trained to be safe. Google used automated techniques to strip personal information from the data it used to train the models, and it used reinforcement learning based on human feedback to ensure Gemma's instruction-tuned variants show responsible behaviors. Companies and independent developers could use Gemma to create AI-powered applications, especially if none of the currently available open models are powerful enough for what they want to build.

Google has plans to introduce even more Gemma variants in the future for an even more diverse range of applications. That said, those who want to start working with the models right now can access them through data science platform Kaggle, the company's Colab notebooks or through Google Cloud.

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The new labels aren’t exclusive to TikTok-approved filters. You can slap the label on any content that’s been completely generated or significantly edited by AI, no matter where the content has been sourced from. Disney+ could have used these tools back when Secret Invasion premiered.

TikTok’s new labeling tools aren’t exactly optional. A recent company policy clearly states that any AI-generated content that contains “realistic images, audio or video” must be labeled as such to “help viewers contextualize” the situation and “prevent the potential spread of misleading content.” However, you can use other disclosures, like stickers or captions, to get the point across without violating any community guidelines.

When you place the onus on consumers to label their content, mistakes are gonna happen. To that end, TikTok’s developing its own algorithm that will label AI-generated posts automatically, though it hasn’t announced when these in-house tools will launch. All of the aforementioned tools were developed in tandem with the company’s safety advisory councils, with assistance from industry and scholastic experts.

Additionally, the platform has committed itself to abiding by the Partnership on AI’s Responsible Practices for Synthetic Media, a list of recommendations for increased transparency involving artificial intelligence. TikTok will also partner with the nonprofit Digital Moment to host roundtables to discuss the advancement of AI with “young community members.”

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The ARM was first teased publicly in 2018 and has not been used to diagnose patients yet. Currently, 13 prototypes of the ARM exist, with significant testing still needed before it can assist everyday clinicians. However, the intention is to create a system that can be "retrofitted into existing light microscopes found in hospitals and clinics," according to Google. ARM-equipped microscopes can then provide a variety of visual feedback, including text, arrows, contours, heat maps, or animations, each tailored to unique assessment goals.

The Department of Defense's Defense Innovation Unit has reportedly negotiated agreements with Google that will enable ARM distribution through the military, according to CNBC, with the hope that it could be available to some government users sometime this fall. ARM is expected to cost between $90,000 and $100,000 — likely well beyond the means of local health providers. We've asked Google for more information on the progress of the program and potential timeline of availability and will update if we hear back.

This is not the first time Google Health has dipped its toes in investing in AI-powered tools that not only improve the accuracy of diagnostics but also help fill gaps in medicine where there is limited availability of healthcare personnel. The tech giant has made it a point to partner with startups that invest in AI to “improve healthcare” and is projected to have invested upwards of $200 billion on AI investments in the past decade, according to Reuters. This is especially noteworthy considering the World Health Organization predicts a shortfall of 15 million health care workers worldwide by 2030.

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But the new launch may be more about playing catch-up with its competitors than actually innovating. Google Lens, for example, lets you find products to buy by just snapping a picture of them. That means you can find results that fit what you're looking for, even if you don't have the right words to type it in the search bar. Google even started using your data across the company's apps, including Lens, to help its Bard AI chatbot provide more relevant and actionable chatbot responses.

Copilot for shopping works by asking additional questions based on your search to provide recommendations specific to you. Using a photo or saved image to search with Copilot will be available soon.

Copilot AI will start rolling out to devices on September 26. Microsoft spent a significant portion of its event on Thursday talking about updates to the AI product. While it's currently a bit of a scattered setup, with different iterations on across Microsoft platforms, an update to Copilot will create a single generative AI assistant that spans across products.

Follow all of the news live from Microsoft’s 2023 Surface event right here.

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