Employment Law, Operational Reality & Risk: What Organisations Are Missing
Execution risk in employment law is increasing as one incident can trigger multiple regulators. Most organisations aren’t failing due to...
One incident can trigger multiple regulators. Insights from an employment law partner Warwick Ryan
ChatGPT has fueled a global interest in Generative AI. However, very few people (12%) use this first-generation technology regularly.
Public opinion of Generative AI is split between those alarmed and those optimistic about this technology. AI Optimists and AI Adopters tend to be in their mid-30s and 40s, are more educated, hold senior or executive positions, and have higher household incomes. In contrast, AI Skeptics trend older, less educated, and have lower average household incomes.
The overall public is open to using AI for service (over 85%) and automating manual tasks like writing a paper or monitoring home security cameras. In contrast, only AI Adopters would allow AI to take on tasks with higher stakes, such as driving a car, flying a plane, or making a medical decision.
The public prefers AI to human agents when (a) there is a wait for a human or (b) when the AI service is as good or better than a human agent. When AI in service works well, all but the biggest AI Skeptics view the brand favorably, increasing revenues while reducing costs. The public’s poor experience with bad chatbots and virtual assistants has led 77% of people to expect companies to use AI for service to “save a buck,” even if it’s less helpful. In fact, their top two AI concerns are job loss and ease of use.
Investment in AI must innovate in the UX, CX and backend technology. The Service Leaders’ imperative is to deliver end-customer service AI with the speed, convenience and intuitive engagement to build the brand rather than disappoint and alienate customers.
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Execution risk in employment law is increasing as one incident can trigger multiple regulators. Most organisations aren’t failing due to...
A 25-minute executive briefing for Community Housing Providers on improving maintenance efficiency, reducing contractor visits, and enhancing property maintenance operations.
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