Lifeboat Foundation

How might the application of artificial intelligence enhance the experience and reach of electronic gaming and gambling?

Over the next few years, the internet gaming business could be transformed completely as artificial intelligence (AI) enters the scene. At its core, AI is a type software or hardware that learns—and it could be programmed to learn mostly about us, its users and those insights could drive the developments of new, hyper-personalised gaming and internet betting experiences. The technology is being applied to learn our habits, our likes, and our relationship patterns. Just as Netflix uses an algorithm to suggest films you might watch, the concept of personalisation is extending to the idea of “Lifestyle AI” applications that could help choose your entertainment, gaming choices, wardrobe, your next meal, your job, and romantic partner. Take this one natural step further, and we enter the domain of mass tailoring of gaming and betting experiences.

While it all sounds a bit like science fiction, the capabilities of AI tools and the range of applications are growing exponentially. Indeed, by 2020 AI could be present in some form in everything we do, and by 2030, AI is likely to have infiltrated our lives in much the same way as smartphones, the internet, and global travel are now taken for granted. So how might AI change our recreational habits and day-to-day existence in a way that might affect e-gaming? Here are eight novel ways internet betting could be different in future as a result of AI.

• Trend Betting – Individuals could bet on the word, phrase, issue, or concept that will be mentioned most across a range of sites on the web during a fixed period, and then AI web crawlers would determine the actual count. Machine learning would be used to profile these trends and patterns over time, predict the likelihood and frequency of occurrence of key terms, and then determine the odds accordingly. Users could volunteer their own terms alongside those which the gambling sites suggest. To determine the initial odds for new terms, machine learning would compare the new term to others it has already analysed, and search the internet to see how frequently it is mentioned. The algorithm would then set the initial odds and refine them over time in response to actual betting patterns and payouts.

• Campaign Betting – Companies could hedge the costs of their marketing campaigns by betting on their success. Machine learning algorithms could evaluate a campaign, compare keywords and phrases in the material against past campaigns, and then determine the odds accordingly. The company placing the wager could then bet on achieving or not achieving a certain target number of hits.

• Next Generation Sports Betting – A combination of wearables and implantables tracking vital signs could be worn by sportspeople. Bets could then be placed on the aggregate performance of a team in a game—average heart rate, total calorie consumption, median oxygen intake, etc. The AI system would crunch the numbers in real time and generate minute by minute predictions of the likely outcomes for the rest of the event. Gamblers would be able to jump in at any time to bet on the likely outcome. The odds would be generated by applying machine learning algorithms to analyse the vast amounts of data generated from previous games.

• Betting on Your Life – With AI, any scenario could turn into a betting opportunity. What are the chances that you would run into a friend at the grocery store? Find a lucky penny? Get a call from your parents? Enjoy your date? Go and see a movie? Be fired by your boss tomorrow? In a form of crowdsourced betting system, if you find enough people to bet on your life events then you could give it a go. Even individuals’ lives could be ranked according to their predictability or spontaneity. The algorithm would do a detailed comparison of your social media profiles and other web postings and data against its databank to determine the odds and change them dynamically as the bets roll in.

• Beat the Bookies ­– With the analytical capability of AI, an independently developed ‘Beat the Bookie’ app could look at all the variables associated with a sports event. The app might factor in player performance statistics, player behaviour information, weather, previous fixtures, key match events, and create a ‘best bet’ opportunity for the gambler from across all available betting sites. An interesting question arises over how long it would be before the bookmakers develop a counter to the app or a more sophisticated basis for gambling.

Artificial Intelligence (AI) is an emerging field of computer programming that is already changing the way we interact online and in real life, but the term ‘intelligence’ has been poorly defined. Rather than focusing on smarts, researchers should be looking at the implications and viability of artificial consciousness as that’s the real driver behind intelligent decisions.

Consciousness rather than intelligence should be the true measure of AI. At the moment, despite all our efforts, there’s none.

Significant advances have been made in the field of AI over the past decade, in particular with machine learning, but artificial intelligence itself remains elusive. Instead, what we have is artificial serfs—computers with the ability to trawl through billions of interactions and arrive at conclusions, exposing trends and providing recommendations, but they’re blind to any real intelligence. What’s needed is artificial awareness.

Elon Musk has called AI the “biggest existential threat” facing humanity and likened it to “summoning a demon,”^[1] while Stephen Hawking thought it would be the “worst event” in the history of civilization and could “end with humans being replaced.”^[2] Although this sounds alarmist, like something from a science fiction movie, both concerns are founded on a well-established scientific premise found in biology—the principle of competitive exclusion.^[3]

Continue reading “Is artificial consciousness the solution to AI?” »

The city of the future is a symbol of progress. The sci-fi vision of the future city with sleek skyscrapers and flying cars, however, has given way to a more plausible, human, practical, and green vision of tomorrow’s smart city. Whilst smart city visions differ, at their heart is the notion that in the coming decades, the planet’s most heavily concentrated populations will occupy city environments where a digital blanket of sensors, devices and cloud connected data is being weaved together to build and enhance the city living experience for all. In this context, smart architecture must encompass all the key elements of what enable city ecosystems to function effectively. This encompasses everything from the design of infrastructure, workspaces, leisure, retail, and domestic homes to traffic control, environmental protection, and the management of energy, sanitation, healthcare, security, and a building’s eco-footprint.

The world’s premier cities and architects are competing to design and build highly interconnected smart environments where people, government and business operate in symbiosis with spectacular exponentially improving technologies such as big data, the Internet of Things (IoT), cloud computing, hyperconnectivity, artificial intelligence (AI), robots, drones, autonomous green vehicles, 3D/4D printing, smart materials, and renewable energy. The architectural promise of future smart cities is to harmonize the benefits of these key disruptive technologies for society and provide a high quality of life by design. Some have already implemented smart city architecture and, as the concepts, experiences and success stories spread, the pursuit of smart will become a key driver in the evolving future of cities as communities and economic centres. Here we explore some of the critical trends, visions, ideas, and disruptions shaping the rise of smart cities and smart architecture.

Smart Cities – Purpose, Engagement and Vision

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The Disruption Experience this Friday in Singapore is a blockchain event with a difference. With apologies to the Buick commercial, this is not your grandfather’s conference…

I know a few things about blockchain conferences. I produced and hosted the first Bitcoin Event in New York. My organization develops cryptocurrency standards and practices. We help banks and governments create policy and services. And as public speaker for a standards organization, I have delivered keynote presentations at conferences and Expos in Dubai, Gujarat India, Montreal and Tampa, New York and Boston.

Continue reading “Disruption Experience Nails It” »

https://www.albayan.ae/middle-east-dialogue/2018-03-20-1.3214947