When it comes to the talk of technological advancements, artificial intelligence will always be one of the most revolutionizing technologies that are present in many industries. Artificial Intelligence is defined as the theory and development of computer systems to be able to perform human tasks like visual perception, speech recognition, and even decision-making.

The first AI program can be traced as early as the 1950s and since then, it’s been continuously developed. Right, now we can already see how powerful AI is and how widely present it is in many industries like gambling.

Artificial Intelligence has always been heavily acquainted with gaming including gambling. This is more specifically for online gambling or online casino gaming. AI has been playing an important role in different aspects when it comes to online gambling. Here are some of the aspects of online gambling that is benefiting from Artificial Intelligence.

• Getting New Customers

Online casinos are constantly trying to find ways to get new customers. The competition is just tough because there are now so many online casino operators out there nowadays and all operators have their ways of enticing people like giving great casino bonuses.

Players would usually always prioritize to choose a casino bonus that will be beneficial for them and this is why casinos must reach people who will be interested in their offers. And so, advertising plays an important part here and casino ads are usually more visible to people with casino gaming history. This is something that operators learn by using AI-powered algorithms.

• Player Verification

Security is extremely important to casino operators and they must screen their players well. The verification process allows them to make sure that people signing up on their site are real people. For some casinos, their verification process includes face-recognition as well.

Aside from the verification process, they also use AI tech to keep track of suspicious activities. The AI tech that they use on this can identify whether suspicious activities or fraudulent behaviors are going on. This helps ensure that the personal information of their customers are players are secure.

• Smart Data

Ever wonder why it is that whenever you log in to your casino account, you always seem to be presented with games that you are likely to play? AI technology is also responsible for that. The AI algorithm determines what games you might enjoy based on the other games that you’re playing. This way, online casinos get to ensure that what they are offering to their customers appear customized.

Just remember that any AI program functions based on the data it gets. It may get data from the player’s information and activities. Whatever the AI algorithm will do is based on its programming. Once data is gathered, that’s when the algorithm functions and knows if something is suspicious or this is something that a player will find interesting.

• Virtual Reality

Virtual Reality has been the talk for a while now in the gaming and gambling sector. There are already online casino games that you can play with a VR device. Playing with VR casino games lets you experience realistic online casino gaming and this is also made possible because of AI technology.

When playing any VR games, the result of the interaction you make with any object in the virtual world is the product of AI. How your virtual environment reacts towards your actions is the AI functioning. If you are playing an online casino game against a computer, that’s also AI. It’s the computer functioning like a real player and the actions that your computer opponent take is also the result of compiling data from other players.

• Combatting Gambling Addiction

Many online casinos nowadays are very much cooperative when it comes to combatting gambling addictions in different countries as it is a very serious issue. AI helps casinos combat gambling addiction by analyzing player activities. There are AI programs that could detect problematic gambling patterns or behaviors.

Problematic behavior can be detected in an early stage and it could alert online casinos. If proven that there seems to be something problematic when it comes to the activities of a player, then the online casino could suspend the player’s account. The operator could also give options to the player when it comes to how they could help fight gambling addiction.

AI technology is continuously developed. AI programs are consistently learning and are now function more human-like. Just imagine how far technology would go because of this and this could make online casino gaming more realistic in the future. It is understandable why many are fearing the power of AI, but its benefits are countless.

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WASHINGTON — The U.S. intelligence community released artificial intelligence principles and an ethics framework on Thursday to ensure that intel organizations are safely and legally developing AI systems as the technology quickly evolves.

The long-awaited principles and framework, released in two separate documents by the Office of the Director of National Intelligence, are meant to outline the intelligence community’s broad values and guidance for the ethical development of AI. They provided six principles:

• Respect the law and act with integrity.
• Be transparent and accountable.
• Be objective and equitable.
• Focus on human-centered development and use.
• Ensure it is secure and resilient.
• Inform decisions via science and technology.

The accompanying six-page framework, with 10 stated objectives, is meant to put “meat on the bones” of the stated principles, Ben Huebner, chief of ODNI’s Office of Civil Liberties, Privacy, and Transparency, said Thursday on a call with reporters. Huebner said there are a series of questions that practitioners within the the 17 intelligence agencies should consider when developing AI.

“The framework isn’t a checklist. It certainly doesn’t answer every question. It’s a tool, and it’s a tool that provides the intelligence community with a consistent approach” to artificial intelligence, Huebner said.

The intelligence community is a massive conglomerate of agencies, each tasked with a specific intelligence mission, making it difficult to verify the implementation of these ethics considerations.

To ease oversight challenges, a critical piece of the framework calls on AI users in the intel community to adequately document information about the AI technology under development. That would include explanations on the AI’s intended use, its design, its limitations, related data sets and changes to its algorithm over time.

Asked how ODNI will verify that AI projects at intelligence agencies under its purview are following the framework and principles, Huebner pointed to the documentation guidance that could then be accessible by legal counsels, inspectors general, and privacy and civil liberties officers.

“One of the things I think you see throughout particularly the ethics framework is the incorporation of best practices to allow the folks [in] the oversight community … the tools they’ll need to conduct that oversight,” Huebner said.

The framework is just the first iteration of ODNI’s ethics framework. Huebner told reporters to expect further iterations of the framework as the intel community learns more about the use cases for AI, and as the technology itself matures.

Dean Souleles, who runs ODNI’s Augmenting Intelligence through Machines Innovation Hub, told reporters that within ODNI’s working groups, they are “actively” developing different standards for future use cases.

“It is too early to define a long list of dos and don’ts,” Souleles said. “We need to understand how this technology works. We need to spend our time under the framework and guidelines that we’re putting out to make sure we are staying within the guidelines. But this is a very fast-moving train with this technology.”

A major concern with artificial intelligence, no matter who is developing it, is bias in algorithms. The framework tells practitioners to take steps to discover undesired biases that may enter algorithms throughout the life cycle of an AI program.

“The important thing for intelligence analysts is to understand the sources of the data that we have, inherent biases in those data, and then to be able to make their conclusions based on the understanding of that,” Souleles said. “And that is not substantially different from core mission of intelligence. We always deal with uncertainty.”

With the intelligence community charged with providing objective intelligence to policymakers to inform decision, its agencies must ensure that any AI systems used for intelligence collection are accurate. To ensure the intelligence collected and analyzed by artificial intelligence is accurate, humans must also be able to understand how the algorithms informed conclusions.

“No one has a stronger case than the IC that AI needs to produce results for policymakers outside the IC,” Huebner said. “If a member of the Cabinet or any senior policymaker turns to their intelligence briefer and says: ‘How do we know that?’ We never have the option of saying: ‘We don’t really know, that’s kind of what the algorithm is telling us.’ That’s inconsistent with what intelligence is.”

Humans will also remain a critical part of the intelligence collection process, the framework stated, based on “assessed risk.” In addition, Souleles noted, humans will continue to be a cornerstone to intelligence reports because AI can count enemy aircraft on a runway but won’t be able to answer why the number is higher or lower than a previous day.

Huebner also said ODNI will solicit feedback from the public. The intelligence community will look for AI use cases to talk about publicly when able, he said, adding that voice-to-text technology is one current area of work.

Souleles said his office is working to solve broad issues also faced by the private sector using machines, such as identifying actors who want to cause harm, countering foreign influence operations, and securing both the intelligence community and U.S. networks.

“There’s many areas that I think we’re going to be able to talk about going forward where there’s overlap that does not expose our classified sources and methods because many, many, many of these things are very common problems,” Souleles said.

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