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Looking to the future, district creates artificial intelligence guide – School News Network

Published

10 hours ago

July 9, 2025

Kentwood — While the world of robots, chatbots and “automated everything” can produce fear and anxiety in many people, KPS is focusing on AI as a tool that can provide countless new opportunities if used responsibly and with guidance.

The thought behind the district’s recently published Artificial Intelligence Guide, now in use, is to integrate AI into teaching and learning in ways that prepare students for the future, said Brooke Storms, the district’s instructional technology coordinator.

“We recognize AI is rapidly transforming the world, including education and the workplaces that our students are headed to,” Storms said. “We want to ensure we are maximizing the benefits.

“AI, like any tool, can be used in helpful and harmful ways. We want to make sure we are preparing our kids for the AI skills and literacy they need to be able to use.”

The guide, a first for the district, provides a framework for using AI in teaching and learning while also considering challenges and opportunities. It sets parameters around AI usage in Kentwood schools, with sections on addressing responsible student use and academic integrity; how AI can support student learning; and enhancing teacher practice and effective teacher use.

East Kentwood High School students work with technology (courtesy)

The guide was developed through a yearlong process, beginning last fall with a survey of staff about needs and concerns related to AI. The committee putting it together consisted of teachers across grade levels, administrators and Kent ISD education technology consultants who used survey results to shape the conversation.

An AI Tutor

Teachers weighed in with their personal experiences using AI as well. Pinewood Middle School teacher Mike Garland served on both the AI guide committee and in a pilot program using Khanmigo with his eighth-grade English Language Arts students as a way to test AI integration.

“It was almost like having a tutor or teacher’s assistant in the classroom,” he said of the AI tool developed by Khan Academy. “While I could see what they were doing, I didn’t have to peer over every student’s shoulder to check their work and offer help,”

With the tool, students received immediate feedback, suggestions and ideas related to their writing, but Khanmigo didn’t do the work for them. Students also used the program to generate ideas for thesis statements and set targeted goals for their work.

Garland said it was a good experience — both for him as a teacher and for his students.

“AI is an incredibly useful tool, but one we’ve only scratched the surface of using, especially in classrooms,” he said.

As for Khanmigo: “I would absolutely use it again in a second,” he said.

‘These things are always evolving’

East Kentwood English teacher and AI guide committee member Jessica Darwin regularly uses AI in her classroom, where students use tools like Writable to support their writing. She said she uses it to meet the instructional needs of all students, including special education students and English language learners.

She’s also helped other teachers use AI to help create lesson plans, write objectives, build rubrics and create images.

“AI is a great tool and it’s going to be part of many careers,” she said. “Calculators didn’t kill math, and AI isn’t going to kill student thinking and writing.”

Darwin said she wanted to serve on the committee to be part of the conversation on using AI well in the district.

“I think we put together a really great guide. It’s very thorough for educators and students. It’s going to be a great bit of guidance to transition us into this new world of education,” she said.

‘AI is an incredibly useful tool, but one we’ve only scratched the surface of using, especially in classrooms.’

teacher Mike Garland

Darwin sees great potential in AI usage district-wide.

“I urge educators to be open-minded and know these things are always evolving and it’s part of progress, and to not be afraid,” she said. “It’s not going to replace teachers. As qualified teachers and experts in our field, we still need to vet the output from AI.”

Data and Guidance

Backing up Storms’ statement that proper AI instruction prepares students for future jobs, the new guide includes data from the article, “AI at Work is Here, Now Comes the Hard Part” from Microsoft’s 2024 Work Trend Index. It states that “66% of business leaders say they wouldn’t hire someone without AI skills, and 71% would prefer hiring a less experienced candidate with AI fluency over a more experienced one without it.”

The guide also addresses security, privacy and safety to ensure teachers never share personal or student information with AI tools and that all usage must be in compliance with the Family Education Rights and Privacy Act and Children’s Online Privacy Protection Rule. It also includes a list of privacy and safety checks.

Guidance is also included on age-appropriate AI use for kindergarten through high school and for various subject areas. Led by their teachers, young students will learn that AI is not a person, while high-schoolers will learn to use the tools thoughtfully and independently.

There’s also a student use agreement for students to sign.

Storms emphasized that the guide is an evolving document that will need revisions and additions as technology changes.

“My hope is that teachers embrace this; we invite their ideas to the table,” she said, noting that teachers will receive professional development opportunities as the district looks into purchasing AI tools.

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E-research library with AI tools to assist lawyers | Delhi News

Published

42 minutes ago

July 9, 2025

The Editors

New Delhi: In an attempt to integrate legal work in courts with artificial intelligence, Bar Council of Delhi (BCD) has opened a one-of-its-kind e-research library at the Rouse Avenue courts. Inaugurated on July 5 by law minister Kapil Mishra, the library has various software to assist lawyers in their legal work. With initial funding of Rs 20 lakh, BCD functionaries told TOI that they are also planning the expansion of the library to be accessed from anywhere.Named after former BCD chairman BS Sherawat, the library boasts an integrated system, including the legal research platform SCC Online, the legal research online database Manupatra, and an AI platform, Lucio, along with several e-books on law across 15 desktops.Advocate Neeraj, president of Central Delhi Bar Court Association, told TOI, “The vision behind this initiative is to help law practitioners in their research. Lawyers are the officers of the honourable court who assist the judicial officer to reach a verdict in cases. This library will help lawyers in their legal work. Keeping that in mind, considering a request by our association, BCD provided us with funds and resources.”The library, which runs from 9:30 am to 5:30 pm, aims to develop a mechanism with the help of the evolution of technology to allow access from anywhere in the country. “We are thinking along those lines too. It will be good if a lawyer needs some research on some law point and can access the AI tools from anywhere; she will be able to upgrade herself immediately to assist the court and present her case more efficiently,” added Neeraj.Staffed with one technical person and a superintendent, the facility will incur around Rs 1 lakh per month to remain functional.With pendency in Delhi district courts now running over 15.3 lakh cases, AI tools can help law practitioners as well as the courts. Advocate Vikas Tripathi, vice-president of Central Delhi Court Bar Association, said, “Imagine AI tools which can give you relevant references, cite related judgments, and even prepare a case if provided with proper inputs. The AI tools have immense potential.”In July 2024, ‘Adalat AI’ was inaugurated in Delhi’s district courts. This AI-driven speech recognition software is designed to assist court stenographers in transcribing witness examinations and orders dictated by judges to applications designed to streamline workflow. This tool automates many processes. A judicial officer has to log in, press a few buttons, and speak out their observations, which are automatically transcribed, including the legal language. The order is automatically prepared.The then Delhi High Court Chief Justice, now SC Judge Manmohan, said, “The biggest problem I see judges facing is that there is a large demand for stenographers, but there’s not a large pool available. I think this app will solve that problem to a large extent. It will ensure that a large pool of stenographers will become available for other purposes.” At present, the application is being used in at least eight states, including Kerala, Karnataka, Andhra Pradesh, Delhi, Bihar, Odisha, Haryana and Punjab.

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Enterprises will strengthen networks to take on AI, survey finds

Published

1 hour ago

July 9, 2025

Denise Dubie

Private data centers: 29.5%
Traditional public cloud: 35.4%
GPU as a service specialists: 18.5%
Edge compute: 16.6%

“There is little variation from training to inference, but the general pattern is workloads are concentrated a bit in traditional public cloud and then hyperscalers have significant presence in private data centers,” McGillicuddy explained. “There is emerging interest around deploying AI workloads at the corporate edge and edge compute environments as well, which allows them to have workloads residing closer to edge data in the enterprise, which helps them combat latency issues and things like that. The big key takeaway here is that the typical enterprise is going to need to make sure that its data center network is ready to support AI workloads.”

AI networking challenges

The popularity of AI doesn’t remove some of the business and technical concerns that the technology brings to enterprise leaders.

According to the EMA survey, business concerns include security risk (39%), cost/budget (33%), rapid technology evolution (33%), and networking team skills gaps (29%). Respondents also indicated several concerns around both data center networking issues and WAN issues. Concerns related to data center networking included:

Integration between AI network and legacy networks: 43%
Bandwidth demand: 41%
Coordinating traffic flows of synchronized AI workloads: 38%
Latency: 36%

WAN issues respondents shared included:

Complexity of workload distribution across sites: 42%
Latency between workloads and data at WAN edge: 39%
Complexity of traffic prioritization: 36%
Network congestion: 33%

“It’s really not cheap to make your network AI ready,” McGillicuddy stated. “You might need to invest in a lot of new switches and you might need to upgrade your WAN or switch vendors. You might need to make some changes to your underlay around what kind of connectivity your AI traffic is going over.”

Enterprise leaders intend to invest in infrastructure to support their AI workloads and strategies. According to EMA, planned infrastructure investments include high-speed Ethernet (800 GbE) for 75% of respondents, hyperconverged infrastructure for 56% of those polled, and SmartNICs/DPUs for 45% of surveyed network professionals.

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Amazon Web Services builds heat exchanger to cool Nvidia GPUs for AI

Published

1 hour ago

July 9, 2025

Jordan Novet

The letters AI, which stands for “artificial intelligence,” stand at the Amazon Web Services booth at the Hannover Messe industrial trade fair in Hannover, Germany, on March 31, 2025.

Julian Stratenschulte | Picture Alliance | Getty Images

Amazon said Wednesday that its cloud division has developed hardware to cool down next-generation Nvidia graphics processing units that are used for artificial intelligence workloads.

Nvidia’s GPUs, which have powered the generative AI boom, require massive amounts of energy. That means companies using the processors need additional equipment to cool them down.

Amazon considered erecting data centers that could accommodate widespread liquid cooling to make the most of these power-hungry Nvidia GPUs. But that process would have taken too long, and commercially available equipment wouldn’t have worked, Dave Brown, vice president of compute and machine learning services at Amazon Web Services, said in a video posted to YouTube.

“They would take up too much data center floor space or increase water usage substantially,” Brown said. “And while some of these solutions could work for lower volumes at other providers, they simply wouldn’t be enough liquid-cooling capacity to support our scale.”

Rather, Amazon engineers conceived of the In-Row Heat Exchanger, or IRHX, that can be plugged into existing and new data centers. More traditional air cooling was sufficient for previous generations of Nvidia chips.

Customers can now access the AWS service as computing instances that go by the name P6e, Brown wrote in a blog post. The new systems accompany Nvidia’s design for dense computing power. Nvidia’s GB200 NVL72 packs a single rack with 72 Nvidia Blackwell GPUs that are wired together to train and run large AI models.

Computing clusters based on Nvidia’s GB200 NVL72 have previously been available through Microsoft or CoreWeave. AWS is the world’s largest supplier of cloud infrastructure.

Amazon has rolled out its own infrastructure hardware in the past. The company has custom chips for general-purpose computing and for AI, and designed its own storage servers and networking routers. In running homegrown hardware, Amazon depends less on third-party suppliers, which can benefit the company’s bottom line. In the first quarter, AWS delivered the widest operating margin since at least 2014, and the unit is responsible for most of Amazon’s net income.

Microsoft, the second largest cloud provider, has followed Amazon’s lead and made strides in chip development. In 2023, the company designed its own systems called Sidekicks to cool the Maia AI chips it developed.

WATCH: AWS announces latest CPU chip, will deliver record networking speed

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