Apple CEO John Ternus is pushing back against claims the company has fallen behind in artificial intelligence. In a recent WIRED interview, Ternus, who holds the title of Executive Vice, said Apple will absolutely leverage AI but refuses to ship AI features just to keep up with rivals like Google. His standard is simple: does Apple build something people truly love?
Ternus also addressed concerns about powerful AI models, particularly around cybersecurity risks. He emphasized that Apple wants the technology to fade into the background rather than dominate the user experience. For him, creating products remains a deeply human and personal endeavor, and that philosophy shapes how Apple approaches AI integration across its lineup.
Beyond Apple's strategy, AI is making waves across very different domains. Freightos' Joyce Tai, who serves as Executive Vice President, outlined a practical roadmap for freight forwarders struggling with automation. Her advice: fix inconsistent rate data first, then adopt assisted intelligence rather than jumping straight to full automation. Skipping basic organization leads to erratic pricing and frustrated teams.
Meanwhile, MIT's Executive Vice President Glen Shor confirmed the university will not use AI to observe or analyze campus activity after faculty and students protested the plan. Students decorated security cameras with rhinestones and googly eyes to spotlight their concerns, and the graduate student council demanded greater input before any AI deployment.
On a more troubling note, chatbots and AI planning tools are leading hikers into dangerous wilderness situations, with at least one reported death. The tools suggest unsafe routes that a human planner would never approve, highlighting the risks of trusting AI without independent verification.
In the business world, 76% of US respondents express concern about AI-assisted payment fraud, yet only 23% of organizations use dedicated fraud monitoring tools. Experts recommend layered defenses combining technology with human oversight and employee training to combat increasingly convincing scams like fake invoices and impersonation.
Research from Penn State reveals a paradox: people rate AI-generated empathetic responses as higher quality than human ones, yet still prefer empathy from actual humans. The finding suggests that people believe humans invest more emotional effort, creating a stronger sense of connection even when the words fall short.
In healthcare, the American Heart Association's 2026 Scientific Sessions spotlighted AI-enabled cardiology diagnostics. Dr. Jose Medina-Inojosa stressed that precision cardiology must prioritize equity from the start, recommending diverse training data and performance reporting across population groups before any tool reaches patients.
Scholarly publishers face their own AI challenge as fake but plausible scientific papers become easy to generate. Harry Skuse demonstrated how a few button presses could produce a convincing fake paper, putting publishers in an arms race against increasingly sophisticated generators that threaten trust in the scientific record.
Michigan plans to deploy an AI system built with Recidiviz to classify inmates by danger level, assigning five housing tiers that affect program access and parole eligibility. Concerns about data accuracy persist, especially after past AI tools misclassified vulnerable individuals, including a blind 70-year-old wheelchair user labeled as a moderate risk.
Finally, an opinion piece argues that China and the US must cooperate against shared AI threats, including bad actors and autonomous systems. The author, Wang Xiangwei, suggests creating a global body of experts if the two nations cannot agree on formal rules, framing AI as a danger that transcends geopolitical competition.
Key Takeaways
- Apple CEO John Ternus (Executive Vice) says Apple will use AI but won't ship features just to compete with Google or follow trends
- Freightos Executive Vice President Joyce Tai recommends fixing rate data before adding AI tools to avoid erratic pricing
- MIT Executive Vice President Glen Shor confirmed the university will not use AI to analyze campus activity despite security camera plans
- 76% of US businesses fear AI-fueled payment fraud, but only 23% use dedicated fraud monitoring tools
- AI chatbots and planning tools are leading hikers into dangerous situations, linked to at least one death
- Penn State research finds people prefer human empathy over AI-generated empathy despite rating AI responses as higher quality
- American Heart Association 2026 sessions highlight need for equitable AI cardiology tools trained on diverse data
- AI-generated fake scientific papers are becoming easier to produce, threatening trust in research
- Michigan plans AI inmate classification system with Recidiviz, raising concerns about data accuracy and past misclassification
- China and US urged to cooperate against shared AI threats rather than compete, per Harvard scholar Wang Xiangwei
Apple CEO John Ternus Says 'I Really Like Where We're At' in AI Race: Won't 'Ship AI for AI's Sake'
Apple CEO John Ternus defended the company's AI strategy in a WIRED interview. He said Apple will use AI in new products but will not ship AI just for the sake of it. His test is whether Apple built something people really love. He also pushed back on criticism that Apple has fallen behind rivals like Google in AI.
Apple CEO John Ternus Defends AI Strategy: 'Don't Want to Ship AI for AI's Sake'
Apple CEO John Ternus said Apple wants to use AI to improve products, not add AI features just to follow trends. He spoke in a recent Wired interview. Apple has faced criticism for falling behind competitors such as Google in AI. Ternus also discussed risks from powerful AI models, especially around cybersecurity.
Apple CEO Ternus: Apple Doesn't Want to Ship AI for AI's Sake
Apple CEO John Ternus said the company does not want to ship AI for AI's sake. He acknowledged that everyone has an opinion about Apple's AI progress. He said Apple is absolutely going to leverage AI but wants the technology to fade into the background. He said creating products is a deeply human and personal thing.
Chatbots Are Leading Hikers Astray, With Dangerous Consequences
Chatbots and AI planning tools are leading hikers into dangerous situations in the wilderness. These tools can suggest unsafe routes and lack the critical thinking a human planner would use. Several incidents have been reported, including hikers getting lost and one person dying. The article urges hikers to do their own research and think critically before trusting AI tools.
US Businesses Fear AI-Fuelled Payment Fraud, but Are They Prepared to Stop It?
New research shows 76% of US respondents are concerned about AI-assisted payment scams. AI makes fraud more convincing through fake invoices and impersonation. Only 23% of organizations use dedicated fraud monitoring tools. The article calls for employee training, verification procedures, and a layered approach combining technology and human oversight.
Freightos shares practical AI roadmap for freight forwarders
Joyce Tai, Executive Vice President at Freightos, explains why many freight forwarders struggle with AI automation. She says erratic pricing results happen when companies skip organizing their basic rate data first. Tai recommends a step-by-step digitization approach before adding AI tools. Her three-part guide covers fixing inconsistent rates, using assisted intelligence instead of full automation, and following a four-phase roadmap for technology adoption.
MIT faculty and students push back against AI surveillance cameras
Faculty and students at MIT protested the school's plan to use AI in its campus security camera network. They decorated cameras with rhinestones and googly eyes to draw attention to their concerns. The graduate student council demanded student input and research to justify AI surveillance use. MIT's executive vice president Glen Shor announced the school will not use AI to observe or analyze campus activity, though security camera footage will still be used for traditional safety purposes.
People prefer human empathy even when AI rates higher
Researchers at Penn State discovered an interesting pattern called the AI empathy choice paradox. People rated AI-generated empathetic responses as higher quality and more empathetic than human responses. However, people still preferred receiving empathy from humans even when it was lower quality. The researchers found that people believe humans put more emotional effort into their empathetic responses, which makes them feel more connected despite the lower quality.
AHA 2026 highlights AI in cardiology with equity focus
The American Heart Association's Scientific Sessions 2026 in Chicago featured AI-enabled heart diagnostics as a major theme. Dr. Jose R. Medina-Inojosa from Emory University argued that precision cardiology must be designed with equity from the start. He says the biggest challenge is not algorithm accuracy but ensuring patients can access and benefit from the results. The policy brief recommends training AI on diverse data and reporting performance across different population groups before deployment.
AI-generated fake papers threaten trust in science
AI tools can now generate fake but plausible scientific papers with very little effort. Researcher Harry Skuse demonstrated how he could produce a fake paper by simply pressing a few buttons. Publishers are currently in an arms race between AI detection tools and increasingly sophisticated fake paper generators. Scholarly publishers and organizations like Wikipedia are working to protect the integrity of human-generated knowledge, but experts worry about long-term trust in the scientific record.
Michigan prisons to use AI system for inmate classification
Michigan plans to deploy an AI system developed with Recidiviz to classify incarcerated people by danger level. Inmates are placed into five housing levels that determine their access to programs and parole eligibility. The system raises concerns about data accuracy and fairness. Past AI tools have misclassified vulnerable people, such as a blind 70-year-old wheelchair user labeled as a moderate risk. The partnership leaves major questions about what data is being used.
China and US must cooperate against AI threats, opinion argues
An opinion piece argues that China and the US should work together against the dangers of artificial intelligence. The two countries have spent years competing, but AI poses a shared threat from bad actors and autonomous systems. The author suggests creating a global body of experts if the two nations cannot agree on rules. The article was written by Wang Xiangwei, a senior visiting scholar at Harvard Kennedy School.
Sources
- Apple CEO John Ternus Says ‘I Really Like Where We're At’ in AI Race: Won't ‘Ship AI for AI's Sake’
- Apple CEO John Ternus defends AI strategy: ‘Don't want to ship AI for AI's sake’
- Apple CEO Ternus: Apple Doesn’t Want to Ship AI for AI’s Sake
- Chatbots Are Leading Hikers Astray, With Dangerous Consequences
- US businesses fear AI-fuelled payment fraud, but are they prepared to stop it?
- Beyond the AI Hype: The Operational Blueprint for Freight Forwarding Intelligence
- At a birthplace of AI, pushback over using it for surveillance
- Why do people prefer human empathy despite rating AI empathy higher?
- AI Takes Center Stage at AHA 2026. Experts Warn It Must Be Built for Everyone
- AI Slop Threatens Trust in Science
- Prisons Using AI to Predict When Incarcerated People Will Commit Future Crimes
- Opinion | China and US need to join hands against another powerful adversary: AI
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