Massachusetts school districts are taking different approaches to AI in classrooms, with no statewide plan in place. Districts like Boston have strict rules, while others have few guidelines. Half of students in the state said they were not taught whether AI information is accurate. Former education commissioner Jeffrey Riley said students need to learn to question and verify what AI produces. Newton superintendent Anna Nolin said the district updates its policy every year because the technology changes so fast.
In San Francisco, parents are pushing for a clear AI policy after Superintendent Maria Su discussed classroom technology at Dreamforce. The San Francisco Unified School District already uses tools like Amira reading tutor and ChatGPT Edu across 12,000 students and teachers. Parents in the San Francisco Parents Coalition worry about student safety and data collection. The teachers union also raised concerns that AI tools like Amira could increase teacher workloads. The Board of Commissioners is set to vote on a new AI policy next March.
On the enterprise side, a PYMNTS Intelligence study found that companies with AI in three or more functions get better returns than those using it in just one or two areas. Companies with deeper AI adoption reported 93 percent returns compared to 55 percent for limited use. The study found that the main barrier is now organizational problems like messy data and poor workflows rather than a lack of AI models. Companies with more AI functions reported an average of 5.6 barriers to adoption. The study says the next AI spending will focus on fixing organizational foundations rather than buying smarter models.
Industrial organizations are adopting AI for operational security faster than their systems can support it. Takepoint Research found that almost two-thirds of organizations struggle to integrate AI into OT security due to infrastructure limitations. Luis Luque of Accenture said incomplete asset context is the biggest risk for AI security tools. Moreno Carullo of Nozomi Networks said poor data quality causes AI to produce hallucinations and guesswork. The problem is especially hard in brownfield environments where legacy infrastructure was never designed for AI.
Mercedes-Benz plans to integrate Wayve's autonomous driving system into at least one model within the next two years. The deal aims to help Mercedes catch up with Chinese carmakers like Geely and BYD. Wayve uses sensors, cameras, and machine learning to enable driverless navigation. The system has been tested in the UK and Germany. Meanwhile, major AI companies might support new rules to address unfair competition and data privacy, which could set standards that help smaller companies compete fairly and ensure responsible data handling.
Key Takeaways
- Massachusetts school districts have no statewide AI plan, with half of students not taught to verify AI information accuracy
- SFUSD uses ChatGPT Edu and Amira across 12,000 students and teachers, but parents and teachers want clearer policy before a March vote
- Enterprises with AI in three or more functions report 93% returns versus 55% for limited use, per PYMNTS Intelligence
- Organizational problems like messy data and poor workflows are now the main barrier to AI adoption, not lack of models
- Almost two-thirds of organizations struggle to integrate AI into OT security due to infrastructure and data quality gaps
- Mercedes-Benz partners with Wayve to bring autonomous driving to at least one model within two years
- AI giants may seek regulation to ensure fair competition and responsible data handling
- Elmhurst University advises businesses to build AI-literate leadership with roles like AI product owners and compliance leads
- Alex Berenson warns AI poses serious risks including fake news, data theft, and public opinion manipulation
- Wyatt Emmerich compares current AI fears to past apocalypse scares and suggests the threat is manageable with responsible stewardship
Massachusetts school districts slowly build AI guidance for classrooms
Massachusetts school districts are creating their own rules about AI use in classrooms instead of following one statewide plan. Some districts like Boston have strict rules while others have few guidelines. Half of students said they were not taught whether AI information is accurate. Former education commissioner Jeffrey Riley said students need to learn to question and verify AI information. Newton superintendent Anna Nolin said the district updates its policy every year because the technology changes so fast.
SFUSD parents push for clear AI policy after Dreamforce remarks
San Francisco Unified School District parents want a clear AI policy after Superintendent Maria Su discussed classroom technology at Dreamforce. The district already uses tools like Amira reading tutor and ChatGPT Edu across 12000 students and teachers. Parents in the San Francisco Parents Coalition worry about student safety and data collection. The teachers union also worries AI tools like Amira could increase teacher workloads. The Board of Commissioners is set to vote on a new AI policy next March.
AI model improves handheld ultrasound images for detecting carotid plaques
Researchers in Hunan Province China developed an AI model that enhances handheld ultrasound images. The model makes small or faint carotid plaques easier to see. Handheld ultrasound devices often have lower image quality which makes detecting plaques difficult. Better detection of carotid plaques is an important step in preventing strokes. The research was published in the journal Ultrasound in Medicine and Biology.
Study finds enterprises rethink work to get more from AI
A PYMNTS Intelligence study found that companies with AI in three or more functions get better returns than those using it in one or two areas. Companies with deeper AI adoption reported 93 percent returns compared to 55 percent for limited use. The study found that the main barrier is now organizational problems like messy data and poor workflows rather than lack of AI models. Companies with more AI functions reported an average of 5.6 barriers to adoption. The study says the next AI spending will focus on fixing organizational foundations rather than buying smarter models.
AI adoption in OT security exposes infrastructure and data gaps
Industrial organizations are adopting AI for operational security faster than their systems can support it. Takepoint Research found that almost two-thirds of organizations struggle to integrate AI into OT security due to infrastructure limitations. Luis Luque of Accenture said incomplete asset context is the biggest risk for AI security tools. Moreno Carullo of Nozomi Networks said poor data quality causes AI to produce hallucinations and guesswork. The problem is especially hard in brownfield environments where data collection architecture is weak and legacy infrastructure was never designed for AI.
AI giants may seek regulation to ensure fair competition
Major AI companies might support new rules to address unfair competition and data privacy. Regulation could set standards that help smaller companies compete fairly. It could also ensure companies handle data responsibly. This move may seem surprising but aims to secure the industry's future. Investors and customers would gain more trust in the process.
Mercedes-Benz partners with Wayve to advance self-driving cars
Mercedes-Benz plans to integrate Wayve's autonomous driving system into at least one model within the next two years. The deal aims to help Mercedes catch up with Chinese carmakers like Geely and BYD. Wayve uses sensors, cameras, and machine learning to enable driverless navigation. The system has been tested in the UK and Germany. This marks a key step for both companies in autonomous vehicle development.
How businesses can move from using AI to leading with AI
Elmhurst University explains how companies can shift from simply using AI tools to truly understanding and guiding them. Knowing how to use ChatGPT differs from implementing AI successfully across an organization. Businesses need leaders with AI literacy and strong data governance. Key roles include AI product owners, compliance leads, and operations engineers. Generative AI can improve customer service, marketing, and operations when managed responsibly.
Alex Berenson warns about the dangers of artificial intelligence
Alex Berenson, known for questioning Covid policies, says he fears AI more than any pandemic issue. He describes AI as a powerful force that can be used for good or harm. Concerns include AI creating fake news, stealing data, and influencing public opinion. Berenson calls for awareness, ethical research, and accountability in AI development. He believes society must act wisely to avoid serious risks.
Wyatt Emmerich reflects on AI fears and past apocalypse scares
Wyatt Emmerich compares today's AI fears to past world-ending concerns like nuclear war and global cooling. He notes that many predicted disasters did not happen. As a Christian, he believes humans should act as responsible stewards rather than accept fate passively. He suggests that the AI threat is easier to address than other feared catastrophes. Emmerich humorously proposes unplugging computers as a simple solution.
Sources
- School districts, slowly, build guidance around AI learning in classrooms
- SFUSD parents press for AI policy in classrooms after Dreamforce remarks
- AI enhances handheld ultrasound images to detect carotid plaques
- Study Finds Enterprises Rethink Work to Get More From AI
- AI adoption in OT security accelerates as legacy infrastructure and poor data expose readiness gaps
- Why AI's biggest players might want regulation
- Mercedes-Benz aims to close AI gap with China rivals through Wayve deal
- From AI Users to AI Leaders: How Businesses Can Navigate Generative AI | Elmhurst University Elmhurst University Blog
- Alex Berenson: I Didn’t Fall for Covid Fearmongering. But AI Terrifies Me.
- Wyatt Emmerich: The AI apocalypse
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