Artificial intelligence (AI) is on course to become the next industrial revolution, impacting nearly every industry in one way or another. And that includes podcasting, where AI voice cloning technology is changing the landscape by offering content creators the ability to generate lifelike voices with ease. The cutting-edge innovation is expected to transform audio production, with AI-powered tools becoming increasingly popular among podcast hosts and producers. However, it is necessary to take a broad look at the production process using AI voice cloning, ethical concerns, and what the future of podcasting might hold as AI-generated voices become more difficult to distinguish. Just want to listen to a podcast?

Machine learning (ML) has quietly become part of our everyday lives, powering our cars, the operations in our hospitals, and the food we eat. The automobile is the clearest case, as $10 billion of funding poured into the sector in 2019 alone. As we look ahead to another generation of verticals where ML is going to have a revolutionary impact, health care stands out as one of the very promising. In healthcare, there are now remarkable methods that ML can enhance the quality of our hearing loss. The quietest sound you can hear starts to deteriorate as you get older, but the loudest audible sound remains constant throughout your entire life.

Startups use deep learning and advanced signal processing to improve hearing quality. Machine learning (ML) has quietly become part of our daily lives, powering our cars, the operations in our hospitals and the food we eat. Auto is the most obvious example, as $10 billion of funding poured into the industry in 2019 alone. As we look forward to the next generation of verticals where ML will have a revolutionary impact, healthcare stands out as one the most promising. Within healthcare, there are now remarkable ways that ML can improve the quality of our hearing.

Sir Martyn Lewis and I met back in April to discuss the impact of technology on humanity at The Club at The Ivy in London. It was a well-received debate, so we reconvened to tackle a new subject last month. As education is one of the key industries being disrupted by technology, and a subject both Martyn and I feel passionate about, it felt apt to put it on the agenda for the evening's discussion. The'Fourth Industrial Revolution' will see an increase in workforce automation. The Organisation for Economic Co-operation and Development (OECD) estimates that over the next 10 to 20 years, "14 percent of jobs are at high risk of being fully automated, while another 32 percent at risk of significant change".