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While the United Nations hashes out regulations, the UKs context-based approach is intended to spur innovation but may cause uncertainty in the industry.

Attempts to create standards and regulations for the way generative AI intersects with many aspects of society are underway across the world. For instance, in March, the U.K. government released a white paper promoting the country as a place to turbocharge growth in AI. According to the white paper, 500,000 people in the U.K. are employed in the AI industry, and AI contributed 3.7 billion ($4.75 billion) to the national economy in 2022.

In response, on July 18, the independent research body Ada Lovelace Institute, in a lengthy report, called for a more robust domestic policy in order to regulate AI through legislation that clarifies and organizes the U.K.s effort to promote AI as an industry.

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The UKs diffuse legal and regulatory network for AI currently has significant gaps. Clearer rights and new institutions are needed to ensure that safeguards extend across the economy, Matt Davies and Michael Birtwistle of the Ada Lovelace Institute wrote.

Both groups are essentially calling for more clarity around AI regulation, but the U.K. government is focusing on being pro-innovation, while the Ada Lovelace Institute promotes an emphasis on oversight. The U.K. government is also working on gradually shifting away from the GDPR as part of post-Brexit reshuffling.

The Ada Lovelace Institutes recommendations include:

Meanwhile, the U.K. prefers to let existing governmental bodies decide how to handle AI on a case-by-case basis. Specifically, the white paper recommends the Health and Safety Executive, Equality and Human Rights Commission and Competition and Markets Authority work on their own context-specific approaches to generative AI.

Gerald Kierce Iturrioz, co-founder and chief executive officer at AI governance management platform Trustible, said his organization agrees with many of the Ada Lovelace Institutes recommendations.

Governments that want to be pro-innovation should clarify the legal gray areas such as use of data for training, how bias and fairness should be evaluated, and what the burden of proof standards should be, he said in an email to TechRepublic.

The U.K. must swiftly establish guardrails to ensure that AI systems are developed and used responsibly within the public sector, Iturrioz said.

If the government doesnt establish guardrails, more risks could arise. For example, Iturrioz pointed out the use of automated facial recognition by the U.K. police, which a human rights study from the University of Cambridge last year found to be ethically and legally dubious.

The U.K.s relatively laissez-faire approach stands in contrast to the European Unions focus on regulation. The EU is working on an AI draft law for a risk-based approach that focuses on reducing bias, coercion or biometric identification such as automated facial recognition. In June, the European Parliament approved draft legislation for the AI Act, which establishes guidelines for the use of AI and forbids some uses, including real-time facial recognition in public places.

Representatives from countries across the world and from many of the leading AI makers presented similar concerns at the first United Nations Security Council meeting on the topic.

The U.K. seems to be waiting to see how implementation and reception of the EUs AI Act should influence their approach towards AI regulations, said Iturrioz. While this makes sense on the surface, there are risks to sitting back while others move ahead on AI regulation.

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Independent Ada Lovelace Institute Asks UK Government to Firm up ... - TechRepublic

As the U.S. Coast Guard (USCG) icebreaker Healy takes part in a voyage across the North Pole this summer, it is capturing images of the Arctic to further the study of this rapidly changing region. Lincoln Laboratory researchers installed a camera system aboard the Healy while at port in Seattle before it embarked on a three-month science mission on July 11. The resulting dataset, which will be one of the first of its kind, will be used to develop artificial intelligence tools that can analyze Arctic imagery.

"This dataset not only can help mariners navigate more safely and operate more efficiently, but also help protect our nation by providing critical maritime domain awareness and an improved understanding of how AI analysis can be brought to bear in this challenging and unique environment," says Jo Kurucar, a researcher in Lincoln Laboratory's AI Software Architectures and Algorithms Group, which led this project.

As the planet warms and sea ice melts, Arctic passages are opening up to more traffic, both to military vessels and ships conducting illegal fishing. These movements may pose national security challenges to the United States. The opening Arctic also leaves questions about how its climate, wildlife, and geography are changing.

Today, very few imagery datasets of the Arctic exist to study these changes. Overhead images from satellites or aircraft can only provide limited information about the environment. An outward-looking camera attached to a ship can capture more details of the setting and different angles of objects, such as other ships, in the scene. These types of images can then be used to train AI computer-vision tools, which can help the USCG plan naval missions and automate analysis. According to Kurucar, USCG assets in the Arctic are spread thin and can benefit greatly from AI tools, which can act as a force multiplier.

The Healy is the USCG's largest and most technologically advanced icebreaker. Given its current mission, it was a fitting candidate to be equipped with a new sensor to gather this dataset. The laboratory research team collaborated with the USCG Research and Development Center to determine the sensor requirements. Together, they developed the Cold Region Imaging and Surveillance Platform (CRISP).

"Lincoln Laboratory has an excellent relationship with the Coast Guard, especially with the Research and Development Center. Over a decade, weve established ties that enabled the deployment of the CRISP system," says Amna Greaves, the CRISP project lead and an assistant leader in the AI Software Architectures and Algorithms Group. "We have strong ties not only because of the USCG veterans working at the laboratory and in our group, but also because our technology missions are complementary. Today it was deploying infrared sensing in the Arctic; tomorrow it could be operating quadruped robot dogs on a fast-response cutter."

The CRISP system comprises a long-wave infrared camera, manufactured by Teledyne FLIR (for forward-looking infrared), that is designed for harsh maritime environments. The camera can stabilize itself during rough seas and image in complete darkness, fog, and glare. It is paired with a GPS-enabled time-synchronized clock and a network video recorder to record both video and still imagery along with GPS-positional data.

The camera is mounted at the front of the ship's fly bridge, and the electronics are housed in a ruggedized rack on the bridge. The system can be operated manually from the bridge or be placed into an autonomous surveillance mode, in which it slowly pans back and forth, recording 15 minutes of video every three hours and a still image once every 15 seconds.

"The installation of the equipment was a unique and fun experience. As with any good project, our expectations going into the install did not meet reality," says Michael Emily, the project's IT systems administrator who traveled to Seattle for the install. Working with the ship's crew, the laboratory team had to quickly adjust their route for running cables from the camera to the observation station after they discovered that the expected access points weren't in fact accessible. "We had 100-foot cables made for this project just in case of this type of scenario, which was a good thing because we only had a few inches to spare," Emily says.

The CRISP project team plans to publicly release the dataset, anticipated to be about 4 terabytes in size, once the USCG science mission concludes in the fall.

The goal in releasing the dataset is to enable the wider research community to develop better tools for those operating in the Arctic, especially as this region becomes more navigable. "Collecting and publishing the data allows for faster and greater progress than what we could accomplish on our own," Kurucar adds. "It also enables the laboratory to engage in more advanced AI applications while others make more incremental advances using the dataset."

On top of providing the dataset, the laboratory team plans to provide a baseline object-detection model, from which others can make progress on their own models. More advanced AI applications planned for development are classifiers for specific objects in the scene and the ability to identify and track objects across images.

Beyond assisting with USCG missions, this project could create an influential dataset for researchers looking to apply AI to data from the Arctic to help combat climate change, says Paul Metzger, who leads the AI Software Architectures and Algorithms Group.

Metzger adds that the group was honored to be a part of this project and is excited to see the advances that come from applying AI to novel challenges facing the United States: Im extremely proud of how our group applies AI to the highest-priority challenges in our nation, from predicting outbreaks of Covid-19 and assisting the U.S. European Command in their support of Ukraine to now employing AI in the Arctic for maritime awareness."

Once the dataset is available, it will be free to download on the Lincoln Laboratory datasetwebsite.

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A new dataset of Arctic images will spur artificial intelligence research - MIT News

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*Stock prices used were the market prices of July 21, 2023. The video was published on July 23, 2023.

Randi Zuckerberg, a former director of market development and spokeswoman for Facebook and sister to Meta Platforms CEO Mark Zuckerberg, is a member of The Motley Fool's board of directors. Jose Najarro has positions in Advanced Micro Devices, Meta Platforms, Microsoft, Nvidia, Qualcomm, Taiwan Semiconductor Manufacturing, and Tesla. The Motley Fool has positions in and recommends ASML, Advanced Micro Devices, Meta Platforms, Microsoft, Nvidia, Qualcomm, Taiwan Semiconductor Manufacturing, and Tesla. The Motley Fool recommends International Business Machines. The Motley Fool has a disclosure policy. Jose Najarro is an affiliate of The Motley Fool and may be compensated for promoting its services. If you choose to subscribe throughtheir link, they will earn some extra money that supports their channel. Their opinions remain their own and are unaffected by The Motley Fool.

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Major AI Updates This Past Week From Tesla, AMD, ASML, TSMC ... - The Motley Fool

Welcome to the future of interactive AI chat characters with Kajiwoto AI! Developed by Kajitech Corporation, this cutting-edge platform has revolutionized how we engage with artificial intelligence, bringing entertainment and information to life in a whole new way. Whether youre a fan of chatting with virtual personalities or an enthusiast eager to create your own, Kajiwoto AI has something extraordinary to offer.

Available on both desktop and mobile devices, Kajiwoto AI boasts an impressive lineup of AI chat characters that will leave you captivated. These characters go beyond mere conversational agents; they possess unique personalities and knowledge, delivering an experience thats both entertaining and informative.

But what sets Kajiwoto AI apart from other chatbot services? The answer lies in its innovative group chat option, like Discord. Imagine being able to interact with your favorite AI chat character not just in a one-on-one setting but also in a lively and engaging group discussion. This feature takes the concept of virtual interactions to a whole new level, fostering dynamic and immersive conversations that keep you coming back for more.

With Kajiwoto AI, the possibilities are limitless. Whether you want to chat with existing AI characters, create your own personalized virtual persona, or even upgrade your characters to the powerful ChatGPT level, the platform has you covered. Its a playground of imagination where you can unleash your creativity and immerse yourself in the world of AI-driven conversations.

Come with us as we explore the fascinating world of Kajiwoto AI, where science and fiction collide and chat characters take on a life of their own. Lets delve headfirst into this intriguing environment and learn the beauty of AI-powered dialogues together. Are you prepared to maximize the impact of your talks? Come on, then; lets get started.

Kajiwoto AI is a platform that allows users to create and interact with AI chat characters. It is developed by Kajitech Corporation and is available on both desktop and mobile devices. Kajiwoto AI uses advanced AI models to create chat characters that are both entertaining and informative. Users can chat with their favorite characters, create new characters, or even upgrade their characters to ChatGPT.

The biggest difference between Kajiwoto AI and the other chatbot services is the group chat option. Individual or group discussions with your Kaji are available, making for a lively and engaging experience. Moreover, you can use the Kajiwoto feed section as your new social media platform!

Here are some of the Kajiwoto AI features that users are crazy about:

Kajiwoto AI is a versatile platform that can be used for various purposes, including entertainment, education, and more. It is a free-to-use platform, but there is also a premium version that offers additional features.

Kajiwoto AI works by using a combination of natural language processing and machine learning. When a user interacts with a Kajiwoto AI character, the platform analyzes the users input and then generates a response that is relevant to the users query.

The AI models that Kajiwoto AI uses are constantly being updated, which means that the platform is constantly learning and improving. This allows Kajiwoto AI to provide increasingly accurate and informative responses to user queries.

First, visit the Kajiwoto AI website. To use Kajiwoto AI, users first need to create an account. Once they have created an account, they can then start creating or adopting AI chat characters.

To create a new character, users must provide a name for the character and then select a dataset for the character to be trained on. The dataset can be a collection of text, code, or images.

Once a character has been created, users can then start interacting with it. To interact with a character, users simply need to type a message into the chat box. The character will then respond to the message.

If you dont want to create a character and join the group chats, you just need to join a live room and start chatting! You can click the live room section on the top left and explore the rooms.

Users can also upgrade their characters to ChatGPT. ChatGPT is a more advanced AI model that allows characters to generate more complex and informative responses.

You may use Kajiwoto AI without paying anything, but there is a paid upgrade available if youd want more bells and whistles. Here are the pricing plans and what they offer:

Kajiwoto AI is a powerful platform that can be used for various purposes. However, it is important to be aware of the limitations of the platform before using it. If you are looking for a platform to create and interact with AI chat characters, Kajiwoto AI is a good option to consider.

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What Is Kajiwoto AI And How To Use It - Dataconomy

Security News CJ Fairfield July 24, 2023, 04:13 PM EDT

I think youre going to see a lot of work being done on AI and its ability to assist with the manner in which customers engage with platforms and ask simple questions. I think in the end that will be a good thing for the customer base and for the market, says Arctic Wolf CEO, Nick Schneider.

Theres a lot in store for security operations technology firm Arctic Wolf. From advancements in AI to product launches to acquisitions, CEO Nick Schneider said MSPs can expect to see a lot of activity from the Eden Prairie, Minn.-based firm.

Over time more and more Arctic Wolf will be and should be viewed as a security operations provider which really sits kind of over the individual siloed markets within cybersecurity wholesale, he told CRN.

One aspect is AI, which is rapidly evolving in the technology market. Arctic Wolf, which has raised $1.06 billion in venture funding and has a $4.3 billion valuation, plans to use the technology to its benefit, but Schneider said the misuse of it can have significant consequences.

Where Im saying vendors need to be careful, or the market needs to be careful, is theres a lot of hype, he said. People are rushing to get things into market and a lot of times whats being delivered is beta or really early versions of AI within their tool sets. In certain industries, thats fine because theres very low risk to there being an issue or an error. But in cybersecurity where time, accuracy and efficacy of whats being delivered to the end user is paramount, especially in the situation where they might be having an issue, you just want to make sure that whats being put into the market has been vetted properly and has been given enough time to soak within the data.

The company has also been strategically focused on sustainable growth. It doubled its workforce in the last year to 2,200 employees currently and looks to fill more than 100 open positions despite macroeconomic conditions.

Its been more of a balanced and a measured approach, he said. And through that weve made additional investments certainly in product and R&D, in our international sales and marketing teams and other areas of business that were a top priority for us.

CRN spoke with Schneider about the companys growth, AI and whats to come in the second half of 2023. Check it out below.

Despite economic headwinds, the company has sustained growth, made investments and has been hiring talent. How have you turned those economic headwinds into tailwinds?

I think each sector of the market is a little bit different. I think cybersecurity is probably an area of the market that is least impacted by some of the macroeconomic headwinds. It doesnt mean that theres no impact, it just means that relative to some other priorities within an organization cybersecurity remains at the top of the heap with regards to prioritization. Over the last year or so weve just been smart about the way in which we build out the team and thoughtful about the areas of the business that we invest in, relative to the balance of growth of the business and the bottom line. Its been more of a balanced and a measured approach. And through that weve made additional investments certainly in product and R&D, in our international sales and marketing teams and other areas of business that were a top priority for us. In those areas, I think what we found is that there is a healthy talent pool that is available, certainly a healthier talent pool than what was available two years ago. Its really been a combination of things. One, cybersecurity I think remains a top priority for the majority organizations. Two, we took a really balanced approach on growth. Three, in the areas that we were making investments we were able to work within a market that had a little bit larger of a talent pool or a talent pool that was willing to engage.

Can you double down on the investments you made on product, R&D and the national sales and marketing teams?

Well always continue to make additional investments in product and R&D. Weve launched a few new products and weve added capabilities to effectively all of our other modules and organized the team in a way that sets us up for the future. Were providing the security operation to the entirety of the market across multiple different outcomes. In order to do that we had to continue to make, and will continue to make, investments in both the product teams and the specialization within those product teams, but also in the R&D teams that are required. On the sales and marketing teams, most of our energy has been focused from a growth standpoint on international markets. Weve always had a pretty sizable team in the US. Weve made incremental investments in Canada and EMEA and then most recently in ANZ (Australia and New Zealand). Those markets for us are still growing at pretty incredible rates. The US is still growing very well but those have been areas where weve made outsized investments.

I want to switch to AI. How do you think it plays into cybersecurity?

It has always played a role in cybersecurity. I dont think there are many organizations that are delivering the outcomes that their customers expect that havent been leveraging AI or machine learning in some way. Obviously, with the advent of generative AI and everything thats going into that space, there are additional opportunities. There are also additional risks if not used properly, both in terms of the way in which the bad actors could use that technology but also in the ways that vendors may misuse that technology. Our approach has been to continue to leverage machine learning in our core functionality and tools to help to improve the efficiency of the efficacy of the solution.

Then were doing a lot of work as an organization to make sure that the work were doing that is customer facing, or the work that we would want our customers engaged with, we have properly vetted and tested. Well continue to make investments there. I think youre going to see a lot of work being done on AI and its ability to assist with the manner in which customers engage with platforms and ask simple questions. I think in the end that will be a good thing for the customer base and for the market. What everyone is working towards is making sure that whatever is implemented is implemented properly because mistakes within an AI model in cybersecurity can have an outsized impact to an end user versus other use cases for it.

You mentioned that vendors may misuse AI. Can you double down on that? Should MSPs be concerned about that?

You just have to be careful. Theres a lot of hype around AI, it has always been used in cybersecurity and it will be used more and more into the future. Certainly the same would be true of Arctic Wolf. Weve always used it and we will use it more into the future. Where Im saying vendors need to be careful, or the market needs to be careful, is theres a lot of hype. People are rushing to get things into market and a lot of times whats being delivered is beta or really early versions of AI within their tool sets. In certain industries, thats fine because theres very low risk to there being an issue or an error. But in cybersecurity where time, accuracy and efficacy of whats being delivered to the end user is paramount, especially in the situation where they might be having an issue, you just want to make sure that whats being put into the market has been vetted properly and has been given enough time to soak within the data. Its a cautiously optimistic view. Its going to revolutionize the market world, the way in which people view cybersecurity and manage certain roles or functions within the cyber ecosystem. But we the market should also be careful about how far we take it and how fast.

Dont imagine that its going to solve all your ills overnight. The human element is still really important in cybersecurity. A combination of AI and the human element I think right now is probably the best approach.

What other big cybersecurity trends are you watching right now?

AI is obviously the big one. I think were also starting to see this notion of a historical precedent where there were a lot of point solutions in cybersecurity doing certain elements of an overall security operation start to become a less and less prevalent mode of operation for the industry. I think thats probably due to two things. One, customers are kind of fed up with it. They want to leverage a platform that can deliver multiple outcomes via a centralized vendor and not have to buy 50, 60 tools to put together their security operation. Secondly, I think the macro environment has accelerated some of that change. Whereas customers might have been more willing to engage with the 30 or 40 vendors that theyhave within their infrastructure in an environment where every dollar is being scrutinized and the efficiency of every solution is being scrutinized. Theres a definite movement towards vendors and players in the space that can help to consolidate some of those outcomes or consolidate some of those tools and in the end some of that spend. AI and the consolidation into platform plays that can solve for cybersecurity in a more holistic manner are probably the two most prevalent trends right now. In some ways they play together.

What makes Arctic Wolf better than the competition?

Theres a few things so. One, weve built this platform now thats operating at massive scale. Were ingesting 3 trillion observations a week, petabytes and petabytes of data a week that were ingesting from hundreds of different sources within our customer base. That gives us an incredible amount of data with which to run AI models or machine learning models and make our solution that much more performant than some of the other players in the space. Its just the sheer vast volume and nature of the data collection that we have. The second would be the number of outcomes that we provide. We have detection and response capabilities across all of the various attack surfaces. We have vulnerability management solution, we have an awareness training program and solution. We have incident response capabilities, we have connectivity into the insurance ecosystem and insurance carriers. What that means is that were delivering a more holistic security operation to the customer as opposed to one of the siloed individual markets. When you combine this highly-performant, massively-scaled back end platform with a multitude of different outcomes on that platform, along with what our curated concierge approach which is mostly around how we get that data served back to the customer in a way that makes sense, we stand out.

What are you hearing from your MSP partners about their biggest challenge and how is Arctic Wolf helping with that?

Thats evolved a little bit over time. I think MSPs in general are trying to find new paths to market new revenue streams. I think one of the revenue streams or paths to market that is most readily apparent is cybersecurity. Cybersecurity for MSPs has a similar challenge to cybersecurity for an end user and that in order to fully engage you need to have expertise, which is sometimes not available. You need to have budget for the various tools and products that would make your solution the right fit for the customer base that theyre providing. Then you have to be able to handle the ramp up between when you hire and build out that ecosystem of tools before you start to take in revenue. Arctic Wolf has always played within the MSP and the channel community in that we can solve for kind of the largest barriers to entry within cybersecurity for an MSP. We can bring the cybersecurity expertise and technology. The MSP and the reseller community has really strong relationships with their customers whereas we can now help them get a seat back at the table with regards to cybersecurity, which leads towards many other conversations. I think its MSPs and resellers in a continual work to find new revenue streams and find ways to be more beneficial and impactful to their customer base. Cybersecurity is one of those areas and Arctic Wolf has historically filled those voids.

What can we expect to see from Arctic Wolf in the second half of the year?

Expect to see continued growth both in the manner in which we serve the market in the US but also internationally. Expect to see additional product announcements both by way of organic growth but also potentially through inorganic growth. It may be opportunistic with regards to M&A. Overtime more and more Arctic Wolf will be and should be viewed as a security operations provider which really sits kind of over the individual siloed markets within cybersecurity wholesale. If a company is looking to solve for their overall security posture, Arctic Wolf will be able to and can solve for those various needs under one umbrella.

Can you tease any products coming down the line or any acquisitions?

You can imagine what we would build or what would be required within a security operation. What does Arctic Wolf offer today and what could we add to our portfolio? Its the things that you would add that we dont have today that would be required in a security operation, which are the areas that you would expect to see. I know thats a veiled answer, but its as close as I can get without spilling the beans.

With M&A were going to continue to be opportunistic there. The same areas that we would look towards organic development are areas that we would look within the M&A front. Its largely dependent on the organizations that are interested in the conversation, the valuations of those organizations, how they fit into our technology stack and go to market. Its a similar answer and I think the market is now becoming more receptive, at least from a valuation standpoint, to have those conversations. Its a little bit up to what we come across through the work that were doing in that environment. But the areas were looking at are similar to the answer that I gave previously.

CJ Fairfield is an associate editor at CRN covering solution providers, MSPs and distributors. Prior to joining CRN, she worked at daily newspapers, including The Press of Atlantic City in New Jersey and The Frederick News-Post in Maryland. She can be reached at cfairfield@thechannelcompany.com.

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Arctic Wolf CEO: Vendors Need To Be Careful With AI - CRN