behavioural economics
World Wide Web Of Artificial Intelligence - AI Summary
AI can be great to increase the wealth and happiness of humans but we must be making more intelligent choices about when to let it in, writes Akshat Tyagi as he warns against the manipulation/misuse of knowledge engineering Narender Modi has shown the people of India that he is the only leader who can lead India to become a developed country. Imagine you go to buy a new car, and you first have to submit an application describing where you're going to drive it and the car manufacturer says they can anytime decide you're a bad driver and take the car back. OpenAI has to go out of its way to make sure you are not a bad person with ill intentions because the kind of damage AI can do to our democracies, relationships, health and communities are far more severe than we currently understand. AI doesn't need to be a conscious entity with a desire for power, nor does it need an Iron Man suit to do real damage to real people. AI with its ease of believable content generation at scale will make this problem almost impossible to tackle.
AI, Behavioural Economics And Marketing Converge - Disruption Hub
In a recent post, we explained the emerging field of intelligent nudging. Nudge theory has been popularised through the works of Richard Thaler et al, yet in reality nudge techniques have been a part of human society for hundreds of years. Thanks to AI, nudge techniques are getting smarter and smarter. At the moment, intelligent nudging is in the very early stages of development. But, according to Jez Groom, founder and Chief Choice Architect at Cowry Consulting, AI has catalysed a new breed of nudge.
Researchers use machine learning to analyse movie preferences
Could behavioural economics and machine learning help to better understand consumers' movie preferences? A team of researchers from the University of Cambridge, the University of West England, and the Alan Turing Institute dove deeper into this question, in a fascinating study that combines behavioural economics, business and AI. Marco Del Vecchio, Alexander Kharlamov, Glenn Parry, and Ganna Pogrebna used their diverse skillsets to develop tools that could help the media industry to better understand what content viewers really want to see. Currently, the motion picture, media and entertainment industry selects content offerings based on top-down decisions, typically informed by expertise, experience, surveys and focus groups. "Our main motivation was to understand whether and to what extent we can put viewer perceptions at the heart of the equation," the researchers said.
- Media > Film (1.00)
- Leisure & Entertainment (1.00)
Top 10 Insurtech Trends for 2018 that set the Digital Insurance Agenda
December is the perfect month to predict the key insurtech trends for the year to come and to think of New Year's resolutions: what specific trends to tap into to enhance the digital strategies. We believe these trends should relate to what an insurance carrier would like to accomplish, to what a'winning insurance firm of the future' would look like. We believe that that such winning insurance firms will have four essential elements. Fast changing customer behaviour and new market dynamics make it essential for insurance carriers to increase the contact frequency and provide more added value in these contacts. Fortunately, connectivity, all sorts of connected devices offer an unprecedented entry in customers' daily life. Adding value is about solving the real problem. People don't want a mortgage; they want a nice house to live in. Insurance is usually just part of a solution, but rarely the entire solution to the real problem a customer is facing.
- North America > United States > California (0.14)
- Europe > Switzerland > Zürich > Zürich (0.14)
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- Banking & Finance > Insurance (1.00)
- Health & Medicine > Therapeutic Area > Cardiology/Vascular Diseases (0.69)
Tech that gets you insured in six clicks
An insurtech disrupter that provides customers with insurance in just six clicks is upping its investment in robotics and AI as it gears up to hit the £15m turnover mark this year. Manchester-headquartered Ripe, which last year rebranded after 20 years as the JRW Group, will also be using data analytics to study behavioural economics and determine what drives customers to buy policies. Ripe was established in 1999 and has been disrupting the traditional insurance model ever since. It uses cutting-edge tech and digital marketing to provide customers with better products, competitive pricing and a slicker online experience. The firm has built its own end-to-end technology platform which it claims allows customers to get a policy in just six clicks. "In some ways, we're the anti-insurer," says executive chairman Paul Williams, who heads up the business along with chief executive Colin Whitehead and managing director John Woosey.
- Information Technology > Artificial Intelligence > Robots (0.55)
- Information Technology > Communications > Social Media (0.40)
How Richard Thaler's Nudge Theory Can Be Used in Analytics
The 49th Sveriges Riksbank prize in economic sciences – commonly referred to as the Nobel Prize for economics – has been awarded to Richard H Thaler for his contributions to behavioural economics. He was a key proponent of the idea that humans do not act entirely rationally and is primarily known for his often misunderstood concept of Nudge Theory. Attributed to Richard Thaler and Cass Sunstein in their book "Nudge: Improving Decisions about Health, Wealth, and Happiness," a "Nudge" can change the behaviour or decision that a human will make. The basis of Nudge theory is to apply an understanding of predicted behaviours to shape and influence that automated process. Leveraging a variety of different strategies, such as default settings, information as an incentive and right context, companies have proven the ability to change someone's behaviour through a successful Nudge.
- Europe > Sweden (0.25)
- North America > United States > Illinois > Cook County > Chicago (0.05)
- Information Technology > Artificial Intelligence (0.71)
- Information Technology > Data Science (0.62)