Agentic AI is no longer a research artifact. These systems are embedded in live infrastructure, clinical workflows, and legal processes: deleting databases, advising patients, and generating legal documents. Wrong outputs cannot simply be taken back. The central question has shifted from whether these systems are ready to make consequential decisions to who is accountable when they get those decisions wrong. The standard apparatus of fault-finding (identifying an actor, establishing a duty, connecting a breach to an injury) was built for a world in which agents are human, decisions are sequential, and causation is legible.

On Monday, a developer using the popular AI-powered code editor Cursor noticed something strange: Switching between machines instantly logged them out, breaking a common workflow for programmers who use multiple devices. When the user contacted Cursor support, an agent named "Sam" told them it was expected behavior under a new policy. But no such policy existed, and Sam was a bot. The AI model made the policy up, sparking a wave of complaints and cancellation threats documented on Hacker News and Reddit. This marks the latest instance of AI confabulations (also called "hallucinations") causing potential business damage.

This paper presents a comparative analysis of hallucination detection systems for AI, focusing on automatic summarization and question answering tasks for Large Language Models (LLMs). We evaluate different hallucination detection systems using the diagnostic odds ratio (DOR) and cost-effectiveness metrics. Our results indicate that although advanced models can perform better they come at a much higher cost. We also demonstrate how an ideal hallucination detection system needs to maintain performance across different model sizes. Our findings highlight the importance of choosing a detection system aligned with specific application needs and resource constraints. Future research will explore hybrid systems and automated identification of underperforming components to enhance AI reliability and efficiency in detecting and mitigating hallucinations.

After months of resisting, Air Canada was forced to give a partial refund to a grieving passenger who was misled by an airline chatbot inaccurately explaining the airline's bereavement travel policy. On the day Jake Moffatt's grandmother died, Moffat immediately visited Air Canada's website to book a flight from Vancouver to Toronto. Unsure of how Air Canada's bereavement rates worked, Moffatt asked Air Canada's chatbot to explain. The chatbot provided inaccurate information, encouraging Moffatt to book a flight immediately and then request a refund within 90 days. In reality, Air Canada's policy explicitly stated that the airline will not provide refunds for bereavement travel after the flight is booked.

In less than two years, the workplace has evolved quickly. Our personal space inside our homes has transformed into a makeshift office, while corporate buildings are vacant and underutilised. As vaccines continue to roll out, a hybrid work model has emerged, with staff now alternating and'taking turns' being back in the office. In the US, research done by SHRM.org highlights that 55% of the workforce favours a hybrid workforce post-pandemic. In the UK, a survey by PWC found 77% of UK employees want a mix of face-to-face and remote working.

It is early days for the use of artificial intelligence (AI) and companies are still finding their way about where it best fits. Where AI should sit on an organisational chart remains something of a puzzle. But as more and more airlines, not to mention other travel suppliers, begin to use AI it is one that needs to be tackled. There are still many questions. For example, should data science be part of the IT department?

Like every other sphere of our modern lives, artificial intelligence (AI) has also made its way into civil aviation. The AI market, created by giant tech companies that develop software to help pilots and passengers alike, is growing. According to a market report, AI in the aviation sector is worth $152 million today and is expected to rise in value to $2.2 billion in 2024. In the U.S. and Europe, airline giants have been using AI for the last few years. Most recently in April, Air Canada and WestJet, one of Canada's largest airlines, announced that they were investing in AI technologies. WestJet CEO Ed Sims said that they are planning to launch a "virtual concierge service," like Amazon's Alexa or Google Home.

MONTREAL – Canada's two largest airlines say artificial intelligence can be a game-changer for aviation by helping to boost revenues, pare costs and provide passengers with a more personalized travel experience. Air Canada and WestJet are joining airlines around the world by spending undisclosed amounts of money on AI in an effort to harness technology that promises revolutionary advantages for both carriers and passengers. Several large airlines in the U.S. and Europe have deployed AI in chatbots that respond to common passenger questions, machine learning algorithms to help automate airline operations and facial recognition to verify identification for luggage and boarding. "It's really an untouched area for the airline industry that we need to develop very fast," new WestJet CEO Ed Sims said in an interview, adding he'd like to use the technology to create a "virtual concierge service" similar to Amazon Alexa or Google Home. The aviation sector's investment in AI is expected to grow from US$152 million this year to US$2.22 billion by 2025, for a compounded annual growth rate of more than 46 per cent, according to a report from research firm Markets and Markets.

Canada's two largest airlines say artificial intelligence can be a game-changer for aviation by helping to boost revenues, pare costs and provide passengers with a more personalized travel experience. Air Canada and WestJet are joining airlines around the world by spending undisclosed amounts of money on AI in an effort to harness technology that promises revolutionary advantages for both carriers and passengers. Several large airlines in the U.S. and Europe have deployed AI in chatbots that respond to common passenger questions, machine learning algorithms to help automate airline operations and facial recognition to verify identification for luggage and boarding. "It's really an untouched area for the airline industry that we need to develop very fast," new WestJet CEO Ed Sims said in an interview, adding he'd like to use the technology to create a "virtual concierge service" similar to Amazon Alexa or Google Home. The aviation sector's investment in AI is expected to grow from $152 million US this year to $2.22 billion US by 2025, for a compounded annual growth rate of more than 46 per cent, according to a report from research firm Markets and Markets.

Canada's two largest airlines say artificial intelligence can be a game-changer for aviation by helping to boost revenues, pare costs and provide passengers with a more personalized travel experience. Air Canada and WestJet are joining airlines around the world by spending undisclosed amounts of money on AI in an effort to harness technology that promises revolutionary advantages for both carriers and passengers. Several large airlines in the U.S. and Europe have deployed AI in chatbots that respond to common passenger questions, machine learning algorithms to help automate airline operations and facial recognition to verify identification for luggage and boarding. "It's really an untouched area for the airline industry that we need to develop very fast," new WestJet CEO Ed Sims said in an interview, adding he'd like to use the technology to create a "virtual concierge service" similar to Amazon Alexa or Google Home. The aviation sector's investment in AI is expected to grow from US$152 million this year to US$2.22 billion by 2025, for a compounded annual growth rate of more than 46 per cent, according to a report from research firm Markets and Markets.