People are becoming more trusting of and warm towards AI models, according to a year-long survey of those living in the US. Myra Cheng at Stanford University in California and her colleagues gathered this information on the crowdsourcing platform Prolific. Between May 2023 and August 2024, roughly 1000 participants a month completed the researchers' questionnaire, although – due to technical issues with the platform – only 12 months of data was collected over the 16-month period surveyed.

That's why I was intrigued when I read my colleague Rhiannon Williams' latest piece about AI gym trainers. Lumin Fitness is a gym in Texas staffed pretty much entirely by virtual AI coaches designed to guide gym goers through workouts (there's one human employee on hand--to switch everything off and on, perhaps.) Patrons can complete a solo workout program with the help of a virtual coach in their own designated station, or participate in a high-intensity functional training class with others. Sensors in both the equipment and the floor-to-ceiling LED screens that line the walls of the gym track users' movements, and Lumin uses machine learning models to tailor advice. The gym owners are confident that these new AI trainers will encourage people like me who feel intimidated or unmotivated to work out. Over the next few years, artificial intelligence is going to have a bigger and bigger effect on us and the way we live.

Artificial intelligence (AI) has been advancing at a fast pace and it is now poised for deployment in a wide range of applications, such as autonomous systems, medical diagnosis and natural language processing. Early adoption of AI technology for real-world applications has not been without problems, particularly for neural networks, which may be unstable and susceptible to adversarial examples. In the longer term, appropriate safety assurance techniques need to be developed to reduce potential harm due to avoidable system failures and ensure trustworthiness. Focusing on certification and explainability, this paper provides an overview of techniques that have been developed to ensure safety of AI decisions and discusses future challenges.

Brazil, India, China, and South Africa are the only countries where more than half of the population expressed strong trust and acceptance of artificial intelligence technologies, according to a study from global accounting firm KPMG. The country with the highest trust in A.I. is India, with a 75% overall acceptance rate. Moreover, the study revealed that emerging countries --specifically the BRICS bloc-- also have the highest engagement with A.I. China is the nation with the most people using A.I. in their workplace (75%), followed by India with 66% and Brazil with 50%. On the other hand, citizens of developed countries appeared to be more skeptical.

Roman Yampolskiy, an AI specialist at the University of Louisville engineering school, told me he's concerned about how quickly technologists are building computers that are designed to "think" like the human brain and apply knowledge not just in one narrow area, like recommending Netflix movies, but for complex tasks that have tended to require human intelligence.

With voice-activated services, such as SIRI, Alexa and Google Assistant now a staple in our day-to-day lives, the introduction of this technology to help manage our finances is still subjected to scrutiny. While chatbots and virtual assistants are now well embedded in our everyday banking, do people really feel confident that their data and money are in safe hands? A recent US survey revealed that a huge 86% of consumers prefer humans to chatbots, demonstrating that there is a long way to go until people fully value and trust AI. Research by Maintel shows why companies hesitate before rolling out this technology nationwide. Data protection was cited as a key concern of consumers, with almost half (47%) of them saying that they are unwilling to use a virtual assistant to contact a company out of fear their device could be hacked, giving someone access to their sensitive personal data. This is unsurprising given the high-profile data breaches we've seen in the past by consumer brands using this kind of technology.

According to study results by Fivetran, 86% of companies struggle to trust AI to make all business decisions without human participation. In contrast, 90% of enterprises rely on manual data procedures. The companion paper, "Achieving AI: A Study of AI Opportunities and Obstacles," explains the problems businesses confront in today's AI ecosystem. The paper investigates how, even though 87% of businesses identify AI as the future of business and aim to expand their investment in it, a lack of trust in machine-led decision-making is a significant obstacle caused by technical challenges and a lack of education. Only 14% of respondents believe their companies are "advanced" in AI maturity.

AI-based testing has the potential to help solve software quality issues, but it faces significant roadblocks on the way to widespread adoption. Automated testing uses software tools to automate the manual testing process. Testers can use traditional rules- or code-based scripts or AI -- which builds, initiates and runs testing models without human intervention. AI-powered tools such as Selenium IDE-compatible Katalon Studio, mabl and Functionize can free developers from mundane task repetition and monitor complex systems for vulnerabilities. However, a distrust of the inchoate technology hinders adoption rates, according to industry experts.

As we are in the fourth industrial revolution, computer automation of many jobs has been a crystal indicator of this era. From traditional computing to intelligence computing, AI has been one of the most spoken topics across the world. Explaining AI to people who are not into computers is quite a complex task. I've had a hard time explaining to my mom what I actually do for a living, but I'll try to keep it simple and easy to grasp the concept. Artificial Intelligence, abbreviated as AI, is the art of simulating human intelligence into computers, making them being able to think and act like humans. By saying so, it means some or most of the works that are being done by humans can be done by robots and other intelligent software systems.

Trusted AI is when we discuss how to ensure and inject dimensions of trust into our intelligent systems, including fairness, robustness, accountability & responsibility, ethics, reliability and transparency. "Trust is the social glue that enables humankind to progress through interaction with each other and the environment, including technology" – Rachel Botsman, Trust Researcher & Trust Fellow at Oxford University How Trusted Does Your AI Need to Be? Now that we know what trusted AI is and what may cause the trust issues – How do we gain this trust in AI? How can we create trusted AI? Trusted AI Framework Capgemini realised there was a big problem around businesses not trusting AI, if they do not trust the outcome, they will not invest and buy it. Trusted AI is when we discuss how to ensure and inject dimensions of trust into our intelligent systems, including fairness, robustness, accountability & responsibility, ethics, reliability and transparency. "Trust is the social glue that enables humankind to progress through interaction with each other and the environment, including technology" – Rachel Botsman, Trust Researcher & Trust Fellow at Oxford University How Trusted Does Your AI Need to Be? Now that we know what trusted AI is and what may cause the trust issues – How do we gain this trust in AI? How can we create trusted AI? Capgemini realised there was a big problem around businesses not trusting AI, if they do not trust the outcome, they will not invest and buy it.