- THE AI WAY
- Posts
- AI Unlocks New Horizons: From Enhancing Education to Revolutionizing Healthcare and Cybersecurity
AI Unlocks New Horizons: From Enhancing Education to Revolutionizing Healthcare and Cybersecurity
Niel de Kock
October 17, 2024
Welcome to the latest news in AI and AI in educational news.
Education AI News
Equipping Doctors with AI Co-Pilots: Ambience Healthcare Automates Routine Tasks for Clinicians
Ambience Healthcare, founded by MIT alumni Mike Ng and Nikhil Buduma, is revolutionizing the healthcare industry with an AI-powered platform that automates routine tasks for clinicians. The platform, used across 40 health systems, assists doctors with tasks like pre-charting, AI scribing, billing codes, and sending after-visit summaries to patients. By streamlining these processes, Ambience saves clinicians daily hours, reduces burnout, and improves patient care. The company aims to address the growing clinician shortage and democratize access to top-tier healthcare expertise nationwide.
Parents Sue High School Over AI-Related Cheating Punishment for Son
A Massachusetts high school senior’s parents have filed a lawsuit against his teacher and school district after he was punished for using AI tools to assist with a history class assignment. The student, aiming for Ivy League schools, received a poor grade and was initially barred from the National Honor Society. His family argues that the school’s AI policy was implemented only after the incident, and they seek to have his grades restored and the "cheating" label removed to prevent damaging his college applications. This case could set a legal precedent on using AI in schools.
(https://www.nbcnews.com/tech/tech-news/ai-paper-write-cheating-lawsuit-massachusetts-help-rcna175669)
AI’s Impact on Education: Adapting to a Wiser, More Versatile Curriculum
Charles Fadel, from the Center for Curriculum Redesign, advocates for a complete overhaul of curricula and pedagogy to harness AI's transformative potential in education fully. He argues that education must go beyond training for jobs and focus on broader life skills, developing adaptability and versatility in students. Fadel emphasizes needing a "four-dimensional" approach—Knowledge, Skills, Character, and Meta-Learning—to prepare students for an unpredictable future. As AI continues to reshape the landscape, the traditional education system must adapt by embracing personalized learning that fosters students' motivation, identity, agency, and purpose. In his commentary, Thomas Arnett from the Christensen Institute also highlights the potential for these changes to gain momentum through innovative schooling models such as microschools and virtual learning environments.
(https://www.eschoolnews.com/digital-learning/2024/10/17/ai-impact-education-wider-wiser-curricula/)
Most Parents Recognize AI’s Importance in Education but Worry About Its Impact
A new survey from Samsung Solve for Tomorrow highlights that 88% of parents believe AI knowledge is crucial for their children's future, yet 81% are unsure if AI is part of their child's curriculum. Parents are optimistic about AI's potential in education, particularly in content creation and personalized learning, but they are also cautious about its downsides, such as dependence on AI and its impact on critical thinking. The survey stresses the need for better integration of AI into education, as well as training for teachers and guidelines for responsible AI use. Initiatives like Samsung's national STEM competition illustrate AI's positive role in solving community challenges.
Revolutionizing AI Training by Emulating Physician Education
Researchers from the University of Pennsylvania have introduced a groundbreaking method for training AI to interpret medical images by mimicking the educational process of human physicians. Traditionally, AI models have been trained by exposing them to large datasets, but this approach can result in inaccurate or biased results, as seen in previous studies. To address these issues, the team developed the Knowledge-enhanced Bottlenecks (KnoBo) method, which incorporates medical knowledge from textbooks, databases, and exam questions to guide AI decision-making, similar to how doctors are trained.
This approach enhances the accuracy and interpretability of AI models, making them better at tasks such as identifying COVID-19 from lung X-rays. Importantly, it helps AI avoid spurious correlations and allows clinicians to understand the reasoning behind AI decisions. KnoBo also improves AI robustness, ensuring better performance across diverse patient populations and hospitals. With a projected shortage of 80,000 physicians in the U.S. by 2036, this research could pave the way for safer and more effective AI applications in medicine, potentially addressing gaps in healthcare availability.
AI News
Endor Labs Unveils AI Model Scoring Tool to Enhance Security and Quality
Endor Labs has introduced "Endor Scores for AI Models," a tool designed to evaluate and score open-source AI models based on security, popularity, quality, and activity. As developers increasingly rely on platforms like Hugging Face to access AI models, this tool simplifies identifying secure and reliable models. By applying 50 built-in checks, the system flags potential vulnerabilities, legal issues, and operational risks while providing user-friendly insights to help developers choose models that meet their specific needs, fostering safer AI integration in software development.
Combining Next-Token Prediction and Video Diffusion for Smarter Robots and AI Agents
MIT CSAIL researchers have developed a new AI training technique called "Diffusion Forcing," which combines the strengths of next-token prediction models and full-sequence diffusion models. This method helps AI systems anticipate future steps and sort through noisy data, improving tasks such as robot manipulation, video generation, and AI navigation. Diffusion Forcing was shown to enhance robotic performance in tasks like object rearrangement and generate more stable, higher-resolution videos. The team aims to expand the method to create a ChatGPT-like "robot brain" capable of learning tasks from internet videos, pushing the boundaries of AI in robotics and computer vision.
AI Helps Feds Recover $1 Billion in Fraud in 2024 — And It's Just the Beginning
In fiscal year 2024, the U.S. Treasury Department recovered $1 billion in check fraud, nearly triple the amount from the previous year, thanks to machine learning AI. This technology, which excels at analyzing vast amounts of data, helped prevent and recover more than $4 billion in fraud overall — a six-fold increase from the prior year. AI is being used to detect subtle patterns in financial data that human agents might miss, particularly in efforts to combat fraud across federal payments and programs. With plans to expand these tools further, the Treasury aims to stay ahead of fraudsters while maintaining human oversight in the decision-making process.
OpenAI and Bain Expand Partnership to Develop AI Solutions for Businesses
OpenAI and Bain & Co. have expanded their partnership to offer AI tools like ChatGPT to businesses across various industries, including retail and life sciences. Bain’s 13,000 consultants now use ChatGPT Enterprise, and the two companies are developing custom, industry-specific AI solutions for clients like Amgen. This partnership aims to help businesses move beyond experimentation with AI toward meaningful transformation. OpenAI currently has over one million paying business clients and is focused on selling AI tools to enterprises, while Bain expects AI-related revenue to grow significantly in the coming years.
AI Pioneer Yann LeCun Argues Current AI Systems Are Far From Reaching Human-Level Intelligence
Yann LeCun, one of the "godfathers" of AI and Meta’s Chief AI Scientist, remains a skeptic of the notion that today's AI models, like ChatGPT, are anywhere close to surpassing human intelligence. In contrast to many of his peers, LeCun argues that AI is still far behind, even compared to the cognitive abilities of animals like cats. While LeCun acknowledges AI's usefulness and its transformative impact at Meta, he believes that achieving true artificial general intelligence (AGI) will require fundamentally different approaches to AI design, beyond simply scaling up current models. He critiques the current hype surrounding AI and warns against overestimating the intelligence of language models that are, at their core, just predicting the next word in a sequence.
AI Tools
My Life Note: A Digital Journaling Platform for Personal Growth
My Life Note is a digital journaling platform that helps users reflect on their lives, set long-term goals, and connect with their inner selves through guided journaling. Key features include guided journaling with prompts, a personal AI mentor offering insights from over 700 professionals, a Life Calendar for long-term goal visualization, and Deep Journal, which ensures private journaling with end-to-end encryption. The platform also offers Subconscious Analytics to help users gain emotional clarity and manage relationships alongside a Long-term Life Planner for structured personal development. User testimonials praise the platform for fostering personal and spiritual growth, and future developments include mobile accessibility.