People and Performance Leader who's passionate about #Ethics, #TechnologyTransformation, #ArtificialIntelligence and #FutureOfWork in #HumanResources.
Proud husband to a phenom of a wife and father to three amazing people.
Musician (#Guitar 🎸 #Tabla 🥁 #MusicTheory 🎼)
Philosopher (#Logic ♾ #Ethics 😇 #CognitiveScience 🧠)
Passionate Cook (#Vegan 🥦)
Living on the lands of the Kalkadoon people (Mount Isa), and Meanjin (Brisbane) of the Turrbal and Jagera people.
| Opinions | Views are entirely my own |
| My links | https://www.simonives.com |
| Politics | Democratic socialist |
Pretty good overview of Rejig's new Work Architecture Platform over at Josh Bersin.
#HRTech #ArtificialIntelligence #AI #WorkDesign #JobDesign #FutureOfWork
https://joshbersin.com/2025/06/reejig-launches-work-architecture-platform-to-speed-transition-to-ai/
This one's a good overview of Australia's new statutory tort for serious invasions of privacy from a Human Resources lens.
https://www.hrmonline.com.au/section/legal/new-statutory-tort-privacy-invasion/
This is a great discussion by Juri Viehoff, Associate Professor of Philosophy at the University of Utrecht, on AI Agents and Solidarity at Work covering Individual Goods of Work, Solidarity as a Communal Good, How AI Undermines Solidarity, and Preserving Solidarity in the Age of AI.
#Philosophy #AI #ArtificialIntelligence #FutureOfWork #PhilosophyOfWork
https://blog.apaonline.org/2025/06/18/ai-agents-and-solidarity-at-work/
Imagine the following scenario: You are an engineer who has worked for years with a small group of colleagues. One day, your company informs you that while your own role remains unchanged, your co-workers will gradually be replaced by artificial intelligence (AI) agents. The transition is smooth: some colleagues are retiring, others are redeployed elsewhere
McKinsey Digital have a good piece out titled "Preparing for tomorrow’s agentic workforce" arguing that the time is now to focus on AI infrastructure, which will enable companies to scale AI and build a future where humans and multiple AI agents successfully work together." A pretty uncontroversial argument, but one that many are slow to respond to.
Despite the click-bait title, this one's a good read over at the Harvard Business Review -> Mistakes Leaders Make About Psychological Safety: An HBR Executive Masterclass with Amy C. Edmondson
https://hbr.org/2025/06/4-mistakes-leaders-make-about-psychological-safety
Psychological safety—a shared belief among team members that it’s ok to speak up with candor—is critical for effective decision-making and forward momentum on senior teams. Yet as the concept has gained traction, so have common misconceptions. In this HBR Executive Masterclass, HBS leadership professor Amy C. Edmondson outlines what we get wrong about psychological safety and offers practical guidance for leaders looking to build a culture where people feel safe to take smart risks.
AI Explainability: How to Avoid Rubber-Stamping Recommendations. Experts at MITSloan debate if human oversight can replace the need for the explainability of AI systems.
https://sloanreview.mit.edu/article/ai-explainability-how-to-avoid-rubber-stamping-recommendations/
This is an interesting report over at McKinsey on the "GenAI paradox: exploring AI use cases". The full report's 28 pages long and worth the read.
#AI #ArtificialIntelligence #GenAI
https://www.mckinsey.com/capabilities/quantumblack/our-insights/seizing-the-agentic-ai-advantage
From Reid Blackman over at the Harvard Business Review -> Organisations Aren’t Ready for the Risks of Agentic AI
https://hbr.org/2025/06/organizations-arent-ready-for-the-risks-of-agentic-ai
As companies move from narrow to generative to agentic and multi-agentic AI, the complexity of the risk landscape ramps up sharply. Existing AI risk programs—including ethical and cyber risks—need to evolve for organizations to move fast without breaking their brand and the people they impact. The good news is that organizations don’t need to solve everything at once. They need to honestly assess where they are on the complexity curve, build the capabilities required for their current stage, and create the infrastructure to evolve safely to the next. This means investing in comprehensive employee training, developing robust monitoring systems, and creating intervention protocols before they’re desperately needed. This task is difficult, but the reward is the safe, wide-scale deployment of truly transformative technologies.
Via Adi Ignatius at HBR: You're Not Prepared for the AI Revolution.
https://hbr.org/2025/06/agenda-youre-not-prepared-for-the-ai-revolution
GenAI capabilities are improving exponentially every six months or so, and yet most companies are adopting models at a linear pace, at best. That means the y’re constantly falling behind and failing to unlock AI’s expanding skills. That’s the view of Karim Lakhani, an HBS professor who’s a leading expert on AI in the workplace. In this edition of the HBR Executive Agenda, HBR editor at large Adi Ignatius talks to Lakhani about what leaders must do now to get AI right. And Ann Hiatt, a Silicon Valley veteran and executive leadership consultant, looks at the growing involvement of fractional C-suite leaders in strategy-making—and the ensuing operational challenges.
This recent judgement in the Supreme Court of QLD will be of interest to those tracking the Non-Compete Clause discussion in the federal election.
