AI is rapidly evolving and impacting various sectors, from education and security to entertainment and healthcare. In education, while President Trump ordered AI training in schools, many teachers are unprepared, highlighting the need for AI literacy, which includes technical, social, and ethical knowledge. Santa Clara University has launched an AI master's program with a Silicon Valley focus, aiming to produce graduates who can responsibly develop AI technologies. In the realm of security, as generative AI integrates into business, companies must prioritize security measures. CISOs need to understand the AI tech stack to secure systems, focusing on data and model layers with encryption and access controls. Companies should also establish AI usage policies, use data loss prevention tools, and train employees. Big tech companies like Apple, with former designer Jony Ive collaborating with OpenAI, Meta, Google, and Amazon are investing in AI hardware to create user-friendly AI devices, possibly screen-less gadgets controlled by voice. In healthcare, the careful integration of AI requires asking critical questions about its purpose, training data, and interpretation methods, emphasizing the need for purpose-built AI designed for specific clinical tasks. Meanwhile, in the entertainment industry, AI studios like Gennie and Toonstar are gaining traction amidst copyright lawsuits faced by companies like Midjourney, focusing on compliance through documentation and partnerships with traditional media. Ontario is set to require employers with 25+ employees to disclose AI use in job postings starting January 1, 2026, to promote transparency and fairness in hiring. This shift towards AI is also pushing leaders to value human skills like trust and empathy, emphasizing hybrid intelligence that combines human and artificial capabilities. Finally, AI is transforming online casinos by personalizing gameplay, enhancing security, and providing customer support through chatbots, leading to a smarter and more user-friendly experience.
Key Takeaways
- CISOs must understand the five layers of the AI tech stack (data, model, infrastructure, application, and governance) to secure systems effectively.
- Companies should establish AI usage policies, implement data loss prevention, and monitor AI activity to manage risks associated with generative AI like ChatGPT.
- President Trump's order for AI training in schools reveals a gap in teacher preparedness, underscoring the need for comprehensive AI literacy.
- Santa Clara University's new AI master's program focuses on technical skills and ethical awareness, preparing graduates for responsible AI development in Silicon Valley.
- Apple's former designer Jony Ive is collaborating with OpenAI to design a new AI device, potentially screen-less, while Meta, Google, and Amazon invest in AI hardware.
- Healthcare providers should ask critical questions about AI's purpose, training data, and interpretation methods before clinical use, favoring purpose-built AI.
- AI studios like Gennie and Toonstar are gaining traction by focusing on legal compliance and partnering with traditional media, while Midjourney faces copyright lawsuits.
- Starting January 1, 2026, Ontario employers (25+ employees) must disclose AI use in job postings to ensure transparency and fairness in hiring.
- AI is driving leaders to prioritize human skills like trust and empathy, emphasizing the importance of hybrid intelligence.
- AI is transforming online casinos by personalizing gameplay, enhancing security, and providing customer support through chatbots.
CISOs Must Grasp AI Tech to Secure Systems
As AI expands, security leaders need to understand its tech. A new report from the Paladin Global Institute breaks down the AI tech stack into five layers data, model, infrastructure, application, and governance. Each layer has risks that can affect others. Securing AI means protecting each layer, especially data and model layers, with encryption and access controls. CISOs should also use existing cybersecurity practices for infrastructure and application layers and develop governance protocols.
Are Your Security Habits Ready for Generative AI?
Generative AI is quickly entering business, but security is lagging behind. Companies are prioritizing speed over managing risks like data privacy and BYOD security. AI data exposure is a big threat, especially when employees use public models like ChatGPT without rules. To manage risks, companies should set AI usage policies, use data loss prevention tools, monitor AI activity, train employees, and secure the development pipeline. Fortra offers tools for real-time monitoring and policy enforcement.
Trump Orders AI Training in Schools, Teachers Unprepared
President Trump signed an order requiring AI training in schools. However, many teachers don't know how to teach AI. The order aims to make the US a leader in AI and prepare a skilled workforce. AI literacy includes technical, social, and ethical knowledge. Without it, people can't understand AI's impact on areas like government, privacy, and healthcare. Everyone needs AI literacy to use AI responsibly.
Santa Clara University Launches AI Training Program
Santa Clara University is offering a new master's program in AI with a Silicon Valley focus. The program teaches technical skills and ethical awareness. It combines software and hardware studies for computer science and engineering students. Students will work with Silicon Valley companies. The program aims to create graduates who can develop AI technologies responsibly, understanding their impact on society.
Big Tech Searches for the Perfect AI Device
Tech companies are trying to create the best device for using AI. Jony Ive, the former Apple designer, is working with OpenAI to design a new gadget. The device may not have a screen and won't be worn like a watch. Companies like Meta, Google, and Amazon are also investing in AI hardware. They aim to make AI easier to use through voice commands and ambient computing.
AI in Healthcare Six Questions to Ask Before Using
Healthcare providers are careful about using AI in clinical practice. Studies show AI can miss important drug interactions. When using AI, ask who it's for, what data trains it, and how it interprets questions. The AI should provide multiple answers and admit its limits. Clinicians must be involved in developing AI for healthcare. Purpose-built AI, designed for specific clinical tasks, is better than general AI.
AI Studios Gennie and Toonstar Signed Amidst Lawsuits
While Midjourney faces copyright lawsuits, Gennie and Toonstar are gaining traction. Gennie creates AI-generated reenactments for shows like Killer Kings on Sky History. Toonstar makes animated content and signed with WME. Both companies focus on avoiding legal risks by using proper documentation and insurance. They also work with traditional media partners. Their approach offers a compliant model for using AI in media.
Ontario's AI Job Posting Rules What Employers Need to Know
Starting January 1, 2026, Ontario employers with 25+ employees must disclose AI use in job postings. This includes if AI screens or selects candidates. The rules aim to promote transparency and fairness in hiring. Employers should assess AI tools for bias and ensure human review of AI decisions. They should also train HR teams and review vendor agreements. These steps help comply with the law and promote ethical hiring.
AI Pushes Leaders to Value Human Skills Again
AI is causing leaders to focus on human skills like trust and empathy. Companies often focus on efficiency and metrics, but human elements are important for success. AI can handle routine tasks, so people should focus on creativity and ethical reasoning. Prosocial AI can help by improving human potential and serving the greater good. Hybrid intelligence, combining human and artificial intelligence, is key for the future.
AI Transforms Online Casinos for Better Experience
AI is changing online casinos by improving gameplay and security. AI learns from player behavior to suggest games and personalize content. It also fights fraud by spotting unusual patterns. Chatbots offer instant customer support. AI helps design games that adjust to player preferences. It also streamlines operations and ensures fairness. These changes make online casinos smarter and more user-friendly.
Sources
- Why CISOs need to understand the AI tech stack
- Generative AI Is Moving Fast. Are Your Security Practices Keeping Up?
- Trump Mandates AI Training In Schools, But Few Teachers Understand
- Santa Clara offers AI training with Silicon Valley focus
- Big tech on a quest for ideal AI device
- 6 Questions To Ask Before Integrating AI Into A Clinical Workflow
- While Midjourney Gets Sued, These Two AI Studios Get Signed
- AI and Job Postings: Navigating Ontario’s Upcoming Requirements
- AI Forces Leaders To Rediscover The Missing Humanistic Component
- The Role of Artificial Intelligence in Online Casinos