Category Archives: Artificial Intelligence

Artificial intelligence (AI) has captivated the imagination of science-fiction movie audiences for many years and has been used in the upstream oil and gas industry for more than a decade (Mohaghegh 2005, 2011). But few industries evolve more quickly than those from Silicon Valley, and it accordingly follows that the technology has grown and changed considerably since this discussion began. The oil and gas industry, therefore, is at a point where it would be prudent to take stock of what has been achieved with AI in the sector, to provide a sober assessment of what has delivered value and what has not among the myriad implementations made so far, and to figure out how best to leverage this technology in the future in light of these learnings.

When one looks at the long arc of AI in the oil and gas industry, a few important truths emerge. First among these is the fact that not all AI is the same. There is a spectrum of technological sophistication. Hollywood and the media have always been fascinated by the idea of artificial superintelligence and general intelligence systems capable of mimicking the actions and behaviors of real people. Those kinds of systems would have the ability to learn, perceive, understand, and function in human-like ways (Joshi 2019). As alluring as these types of AI are, however, they bear little resemblance to what actually has been delivered to the upstream industry. Instead, we mostly have seen much less ambitious narrow AI applications that very capably handle a specific task, such as quickly digesting thousands of pages of historical reports (Kimbleton and Matson 2018), detecting potential failures in progressive cavity pumps (Jacobs 2018), predicting oil and gas exports (Windarto et al. 2017), offering improvements for reservoir models (Mohaghegh 2011), or estimating oil-recovery factors (Mahmoud et al. 2019).

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Artificial Intelligence in the E&P Industry: What Have We Learned So Far and Where to Next? - Journal of Petroleum Technology

Frommysterious monolithsto invasivemurder hornets, 2020 hasbeen a weird year, with even weirder headlines.

So weird, in fact, that when Colorado research scientist Janelle Shane fed a batch of actual 2020 headlines to a language-mimicking artificialintelligence called GPT-3, it generated some truly bizarre news of its own, including:"Massive Radioactive Sinkhole Continues to Grow in Russia" and"When Killer Orchids Attack: How the Deadly Corpse Orchid Is Turning Up in U.S. Backyards."

These AI-generated headlines soundexactly like the kind of quirky stories we love to cover on our program. So we asked Shaneto feed the AI some real 2020 headlines from As It Happens, and see what it would come up with.

The computer-generated headlines were so perfectly As It Happens-esque that even our own senior producer and assistant director couldn't always tell the difference.Watch them try it:

"I think we're seeing this kind of convergence between the world is very weird, and also AI has now seen enough weird headlines that it can, to some extent, figure out the right amount of weird to be," Shane said.

Want to try it yourself? Take our quiz below and see if you can spot the difference between real As It Happens headlines, and fake onesgenerated by an artificial intelligence. (If you're having trouble accessing the quiz below, try clicking here.)

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As It Happens vs. artificial intelligence: Can you tell which 2020 headlines are real? - CBC.ca

With a new generation of consoles at the door, the video game industry shows that it continues to work with the objective of offering its users better graphics and advanced technologies related to image and sound, but above all, to a factor that has had a constant evolution and that is key in the development of games from the beginning: Artificial Intelligence (AI).

We can understand artificial intelligence as the technology that, through so-called machine learning, allows a machine, system or software, to learn to analyze certain information from the environment in order to obtain a more human behavior. And although a few years ago this might seem like an aphorism taken from one of Asimovs works, it is a reality that has ended up reaching us as humans and that no longer belongs to the field of science fiction and speculation.

Within the world of video games, we could summarize and define artificial intelligence as the techniques used by developers to design the behavior of famous NPCs (Non Playable Characters). However, this is a definition that has become increasingly concise in the face of a technology that has been growing along with the video game industry itself, and that now not only focuses on determining the behavior of adversaries, but which is capable of designing increasingly demanding maps, levels and challenges for players. In some online casino list, they offer some games equipped with AI technology.

The origin of Artificial Intelligence in video games occurs before the industry itself became an essential part of popular culture worldwide. One of the best known precedents for the use of this technology in a game dates back to the 1950s, with computer chess titles that were developed based on the MiniMax algorithm. This software had the ability to analyze the position of the pieces on the board to choose the best possible move. Starting in the seventies, with video games revolutionizing the market and the entertainment experiences of users, Artificial Intelligence began to play a key role in the conception and development of the titles of major brands.

In 1972 Pong, your opponent was already able to move based on the movement of the ball you hit to return the impact, while Space Invaders gave clear signs of how the enemies evolved and were increasingly intelligent, challenging the players who they spent hours in the arcade trying to pass each of the levels.

For its part, in the eighties Pac-Man took another step, since it was the first video game that featured a route search system for enemies, who were able to more easily decipher the path that the player took under certain circumstances. In the same years, Donkey Kong boasted how much Artificial Intelligence had advanced, with a level of difficulty that pushed gamers of the time to the limit of their abilities. However, Artificial Intelligence was still precarious enough to realize that the machine was not capable of learning from its mistakes, nor of adapting to the behavior of the player, so the latter had to decipher certain patterns in order to get ahead of the most demanding challenges.

A big jump Artificial Intelligence in video games continued to evolve alongside products that increasingly had a more avid consumer base, and therefore, more demanding. It was thus that new possibilities began to be explored and in 1987 the Golden Ax video game innovated by allowing enemies to run after the player with the intention of attacking him from behind, something surprising if we take into account that at the time the adversaries did not stand out for their mobility.

Little by little, the big developers began to explore more complex terrain, and by 2011, the algorithms of Artificial Intelligence generated simple but unique missions by randomly configuring places, enemies and objectives in the ARPG, The Elder Scrolls V: Skyrim, thus taking a huge workload off the title designers.

Designing video games, the future of AI The role of Artificial Intelligence in the world of video games is increasingly decisive, and has gone from providing a higher level of realism to them, to designing them completely from scratch.

What is the most challenging Artificial Intelligence you have faced in all these years of evolution in video games?

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Analytics Insight is an influential platform dedicated to insights, trends, and opinions from the world of data-driven technologies. It monitors developments, recognition, and achievements made by Artificial Intelligence, Big Data and Analytics companies across the globe.

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The Evolution of Artificial Intelligence in Video Games - Analytics Insight

(For the Holiday Season, from Christmas through New Years Day. well post 2020s most viewed articles as ranked by Google Analytics.)

The research study of Spanish clinical neuropsychologist Gabriel G. De la Torre, Does artificial intelligence dream of non-terrestrial techno-signatures?, suggests that one of the potential applications of artificial intelligence is not only to assist in big data analysis but to help to discern possible artificiality or oddities in patterns of either radio signals, megastructures or techno-signatures in general.

Our form of life and intelligence, observed Silvano P. Colombano at NASAs Ames Research Center who was not involved in the study, may just be a tiny first step in a continuing evolution that may well produce forms of intelligence that are far superior to ours and no longer based on carbon machinery.

We Have Absolutely No Idea Whats Out There

The result of De la Torres intriguing visual experiment calls into question the application of artificial intelligence to the search for extra-terrestrial intelligence (SETI) where advanced and ancient technological civilizations may exist but be beyond our comprehension or ability to detect.

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Artificial Intelligence of the Future Could Reveal the Incomprehensible (2020 Most Viewed) - The Daily Galaxy --Great Discoveries Channel

The quick advancement of artificial intelligence can possibly revamp how the government provides an expansive range of core services to citizens in a significant manner. When implemented effectively, these innovations can assist the government with delivering decisions quicker, utilizing better information, at a far lower cost in essential areas going from granting disability advantages to granting patents to arbitrating migration applications and healthcare insurance benefits.

With quick digital technological change, it is inescapable for the government to advance its customary techniques to accomplish better citizen engagement, responsibility, and interoperability; and this should be possible by adapting to complex changing environment and getting tough with the utilization of intelligent technologies that can go about as the facilitators of development, competitiveness, sustainability, and liveability.

Artificial intelligence has a colossal potential in various government areas, for example, transportation, data security and management, education, healthcare, physical infrastructure, and so forth; and it is imperative for the government to perceive for implementing the same to improve the quality of life for the residents and efficiency of governance.

The Indian government has said that it will use artificial intelligence tools to set up better guidelines and ensure citizens privacy and ownership of data. The Minister of Commerce and Aviation said that the nation is moving more information than the United States and China put together. The main six organizations on the planet are utilizing this data with value addition and monetisation.

Further, India is fortifying its overall set of laws and administrative system to manage this universe of digital information.

Research on AI in the government sector is as yet in its incipient stage and just covers the normal effects of AI, which is speculative in nature and, there is a monstrous scope for empirical research on the AI applications alongside its difficulties as accepted by the partners working in the government area.

Numerous analysts and professionals have only referenced the technological parts of AI applications which sounds ambiguous without a robust public administration model that depicts the implications for governance of the administrative state. Corresponding to this contention, there is as yet a growing need for understanding the reach and impact of AI-based applications and related challenges in a holistic manner.

Automated decision support utilizes AI to apply hundreds or even a large number of discrete regulatory, technical, and business rules that are pertinent to an exact circumstance and place them at the fingertips of the knowledge worker. Complex issues that may have required the intercession of a CPA, engineer, or different experts can be envisioned and settled in advance. The organization can update business logic parameters to new regulatory interpretations or legislation without the requirement for extensive retraining.

As per the Policy Commissions National Strategy for AI, AI innovation provides safety through smart command centres with refined surveillance frameworks that keep checks on peoples movement, potential wrongdoing episodes, and general security of the inhabitants.

Social media intelligence platforms give help to public security by assembling data from social media and anticipate potential exercises that could disrupt public peace.

Artificial intelligence has a significant potential in climate sustainability-related issues as it has the abilities in the area of machine translation, natural language processing, data analytics and pattern recognition, or in computer vision and the latest advances being utilized is the modern machine learning and deep learning. The potential territories covered under the climate where AI can be applied range from applications in energy and utilities, agribusiness, to environmental protection.

Rigid business rules oversee what data sets can be accessed, the security of sensitive data, and how results are shared. Artificial intelligence can quickly recognize any policy deviations to intercede early and give remediation or retraining before a human blunder turns into a fundamental issue.

Artificial intelligence likewise gives an incredible tool to fight against business actors or fraudsters to seek to game the framework of government benefits and regulatory enforcement. Neural networks can consistently search out arising patterns that demonstrate another scheme of abuse or signal that a private entertainer may have reverse-engineered government procedures to acquire more good results. Automated risk scoring utilizing machine learning helps focus enforcement resources and guarantee program trustworthiness.

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Effective Governance Requires Implementation of Artificial Intelligence - Analytics Insight

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A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andcode

Even with everything that happened in the world this year, we still had the chance to see a lot of amazing research come out. Especially in the field of artificial intelligence. More, many important aspects were highlighted this year, like the ethical aspects, important biases, and much more. Artificial intelligence and our understanding of the human brain and its link to AI is constantly evolving, showing promising applications in the soon future.

Here are the most interesting research papers of the year, in case you missed any of them. In short, it is basically a curated list of the latest breakthroughs in AI and Data Science by release date with a clear video explanation, link to a more in-depth article, and code (if applicable). Enjoy the read!

The complete reference to each paper is listed at the end of this repository.

To continue reading this article, click here.

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2020: A Year Full of Amazing AI papers- A Review Machine Learning Times - The Predictive Analytics Times

AI has been a part of the gaming industry for quite some time now. It has been featured in genres like strategy games, shooting games, and even racing games. The whole idea of using AI in gaming is to give the player a realistic experience while playing even on a virtual platform. However, with the recent advancements in AI, the gaming industry and game developers are coming up with more lucrative ways of using AI in games. This article will see how Artificial Intelligence is making a drastic change in the gaming industry.

What do Experts Have to Say About the Change?

Experts have done a lot of research to see where and how AI can take the gaming to a new level. As per the studies and market research, they say that you can expect the gaming industry to change drastically in the next few years.

Moreover, market researchers have seen a drastic change in the way people look at games. Now developers have a more significant challenge to stay connected to the extreme and fast-paced changes. Every year, the research to find out the trends, market value, key players, etc.

What do Market Studies and Research Reveal?

As of 2019, the market worth of the gaming industry was close to 150 Billion dollars. With the introduction of technologies like Artificial Intelligence, Augmented Reality and Virtual Reality, the numbers are set to cross more than 250 billion by 2021-2022.

Artificial Intelligence will be the stepping stone and equally important component in the evolution of the gaming industry. The key players to be at the top on this front include Tencent, Sony, EA, Google, Playtika, Nintendo, etc. Moreover, the market will also see the rise of new players that will specialize purely in developing games with advanced AI environments. Some of the main elements that would be included are:

A Look at How AI was Introduced in the Gaming Industry

The term Artificial Intelligence is broad and is not limited or restricted to just a particular industry. Even in the gaming sector, AI was introduced a long time back, although, at that time, no one knew that it would become so popular.

Ever since its inception, AI was introduced to the gaming industry. The 1951 game Nim is one such example of the earlier use of AI. Although at that time, artificial intelligence was not as advanced as it is now, it was still a game that was way ahead of its time.

Then in the 1970s, came the era of arcade gaming, even in this there were various AI elements in different games. Speed Racing, Pursuit, Quack, etc. were some of the most popular games. This was also the era when Artificial Intelligence gained popularity. In the 1980s, games like Pac-Man and Maze based games took things to a different level.

Using Artificial Intelligence in Game Development and Programing

If you are wondering- How does artificial intelligence make a difference in gaming?

The answer is simple; all the data is stored in an AI environment, each character uses this environment to transform accordingly. You can also create a virtual environment with the information that is stored. This information will include various scenarios, motives, actions, etc. making the characters more realistic and natural. So, how is Artificial Intelligence changing the gaming industry? Read on to find out.

With the help of AI, game developers are coming up with new techniques like reinforcement learning and pattern recognition. These techniques will help the game characters evolve through self-learning of their actions. A player will notice a vast difference when they play a game in the AI environment.

With AI, games will become more interesting. A player can dispose-off or slow down the game to suit their needs. You will hear characters, even talking, just like how humans do.The overall accessibility, intelligence, and visual appearance will make a significant impact on the player. Some live examples of these techniques are presently seen in games like The Sims and FEAR.

Over the past ten years, we have seen a drastic change in the gaming industry. The revolution of the sector has already started with the introduction of AI. Compared to the earlier methods of development, it is easy to develop games in an AI environment.Today, it is prevalent to find games with 3D effects and other such visualization techniques. AI is taking the gaming industry into a new era and heights. Very soon, it will not just be about good graphics, but also about interpreting and responding to the players actions.

Games like FIFA give you a real-world feel when you play them. The graphics make the game come to life. Now imagine having this experience taken a step higher with the help of AI. The experience will be at a different level.

Similarly, an action game will feel real with the help of artificial intelligence. In short, the players gaming experience will be very different from what it presently is. Moreover, the blend of AI and virtual reality will make a deadly combination.

Players do not feel that they are playing a game. Instead, they think that things are happening in real life. In todays times, game developers are paying attention to minor details. It is no longer about just the visual appearance or graphics.

Gaming developers have to develop their skills regularly. They are always adapting to new changes and techniques while developing games. This, in turn, will also help them to improve their creative skills and enhance their creativity.

With the help of Artificial Intelligence, developers can take their skills to a whole new level. They benefit from using cutting-edge technology to bring in unique aspects and ways to develop games.Even traditional game developers are using AI to bring in a difference in their games. They may not work with hi-tech environments; nevertheless, they develop games with various AI elements.

Today, the world is more in-tune with mobile games. The convenience of playing when you are on the go or waiting for a meeting to start makes it more in-demand. With the help of AI, mobile gamers will have a better experience when playing their favorite game.

Even the introduction of various tools on this front will contribute towards the overall experience of playing games on the mobile. Various changes happen automatically based on the interaction of the game.

When AI is used in a gaming environment, it brings in something new and different. The days of traditional gaming are gone. Now, game lovers want a lot more from their games instead of the norm.

Keeping this in mind, gaming developers are now coming up with programs and codes that deliver this. These codes and programs do not require any human interference. They create virtual worlds automatically. Many complex systems are designed to generate the results.

By doing so, this system results in amazing outcomes. One such example of a game on this front is Red Dead Redemption 2. When you look at this game, the players have the flexibility of interacting in myriad ways with non-playable characters. It also includes actions like bloodstains on a hat or wearing a hat.

In the gaming industry, a lot of time and money is invested while developing a game. Moreover, the strain of whether or not the game will be accepted is always on the air. Even before a game hits the market, it undergoes various checks until the developing team is sure that it is ready.

The entire process can take up to months or even years, depending on the kind of game. With the help of AI, the time taken to develop a game reduces drastically. This also saves a lot of resources that are needed to create the game.

Even the cost of labor reduces drastically. This means that gaming development companies can hire better and technically advanced game developers to get the job done. Considering that the demand for game developers is so high, the market gets competitive.

Players want their games to take them to new heights. The introduction of AI in the gaming industry has brought in this change. Gamers can experience a lot more with the games of today than what was developed earlier.

Moreover, the games are a lot more exciting and fun to play. AI has given players something to look out for. Gamers get the benefit of taking their game to a whole new level. It also takes games to a different dimension.

Furthermore, with an AI platform, gaming companies can create better playing environments. For instance, motion stimulation can come in handy to make each character have different movements. It can also help to develop further levels and maps, all without human interference.

The Benefits of Using Artificial Intelligence into the Gaming Industry

In the modern age, you will often find reviews about various games. When you look at the difference between the reviews of traditional games vs. those developed in an AI environment, you will find a lot of difference between the two.

A review on an AI-based game will tell you a lot about the game in detail. When developed in the right AI environment, you will find the reviews not revealing the real game. However, when it comes to a bad review, every mistake will be pointed out. This is why it becomes imperative for gaming developers to do an excellent job while developing a game. But what are the benefits of using AI for game development?

A Final Thought

The gaming industry is changing at a drastic pace. Moreover, the demand for new and improved games is increasing every day. Today, gamers do not want a traditional game to play on. They are looking for a lot more than just that.

AI has brought a change in the gaming industry ever since its inception. Over the years, we have seen drastic changes in the way games are developed. In todays technologically advanced world, games have become more challenging and exciting by providing human like experiences.

About the Author

Saurabh Hooda is co-founder of Hackr.io. He has worked globally for telecom and finance giants in various capacities. After working for a decade in Infosys and Sapient, he started his first startup, Lenro, to solve hyperlocal book-sharing problem. He is interested in product, marketing, and analytics.

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How Artificial Intelligence Will Revolutionize the Way Video Games are Developed - insideBIGDATA

The Defense Department, Army and Howard University linked up to collectively push forward artificial intelligence and machine learning-rooted research, technologies and applications through a recently unveiled center of excellence.

Work it will underpin will shape the future, according to an announcement Monday from the Army Research Laboratoryand the $7.5 million center also marks a move by the Pentagon to help expand its pipeline for future personnel.

Diversity of science and diversity of the future [science and technology] talent base go hand-in-hand in this new and exciting partnership, Dr. Brian Sadler, Army senior research scientist for intelligent systems said. Tapped to manage the partnership, Sadler added that Howard University is an intellectual center for the nation.

Encompassing 13 schools and colleges, the institution is a private, historically Black research university that was founded in 1867. Fulbright recipients, Rhodes scholars and other notable experts were educated at Howard, which also produces more on-campus African-American Ph.D. recipients than any other in America, the release noted. In early 2020, the Armys Combat Capabilities Development Command previously partnered with the university, to support science, technology, engineering, and mathematics [or STEM] educational assistance and advancement among underrepresented groups.

Computer Science Prof. Danda Rawat, who also serves as director of Howards Data Science & Cybersecurity Center will lead the CoE, and the programs execution will be managed by the Army Research Laboratory, or ARL.

This center of excellence is a big win for the Army and [Defense Department] on many fronts, Sadler said. The research is directly aligned with Army priorities and will address pressing problems in both developing and applying AI tools and techniques in several key applications.

A kickoff meeting was set for mid-November, to jumpstart the research and work. ARLs release said the effort will explore vital civilian applications and multi-domain military operations spanning three specific areas of focus: key AI applications for Defense, technological foundation for trustworthy AI technologies, and infrastructure for AI research and development.

U.S. graduate students and early-career research faculty with expertise in STEM fields will gain fellowship and scholarship opportunities through the laboratory, and the government and academic partners also intend to collaborate on research and publications, mentoring, internships, workshops and seminars. Educational training and research exchange visits at both the lab and school will also be offered.

An ARL spokesperson told Nextgov Tuesday that officials involved expect to share program updates after the new year.

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Pentagon Teams with Howard University to Steer Artificial Intelligence Center of Excellence - Nextgov

How might The Terminator have played out if Skynet had decided it probably wasn't responsible enough to hold the keys to the entire US nuclear arsenal? As it turns out, scientists may just have saved us from such a future AI-led apocalypse, by creating neural networks that know when they're untrustworthy.

These deep learning neural networks are designed to mimic the human brain by weighing up a multitude of factors in balance with each other, spotting patterns in masses of data that humans don't have the capacity to analyse.

While Skynet might still be some way off, AI is already making decisions in fields that affect human lives like autonomous driving and medical diagnosis, and that means it's vital that they're as accurate as possible. To help towards this goal, this newly created neural network system can generate its confidence level as well as its predictions.

"We need the ability to not only have high-performance models, but also to understand when we cannot trust those models," says computer scientist Alexander Aminifrom the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

This self-awareness of trustworthiness has been given the name Deep Evidential Regression, and it bases its scoring on the quality of the available data it has to work with the more accurate and comprehensive the training data, the more likely it is that future predictions are going to work out.

The research team compares it to a self-driving car having different levels of certainty about whether to proceed through a junction or whether to wait, just in case, if the neural network is less confident in its predictions. The confidence rating even includes tips for getting the rating higher (by tweaking the network or the input data, for instance).

While similar safeguards have been built into neural networks before, what sets this one apart is the speed at which it works, without excessive computing demands it can be completed in one run through the network, rather than several, with a confidence level outputted at the same time as a decision.

"This idea is important and applicable broadly," says computer scientist Daniela Rus. "It can be used to assess products that rely on learned models. By estimating the uncertainty of a learned model, we also learn how much error to expect from the model, and what missing data could improve the model."

The researchers tested their new system by getting it to judge depths in different parts of an image, much like a self-driving car might judge distance. The network compared well to existing setups, while also estimating its own uncertainty the times it was least certain were indeed the times it got the depths wrong.

As an added bonus, the network was able to flag up times when it encountered images outside of its usual remit (so very different to the data it had been trained on) which in a medical situation could mean getting a doctor to take a second look.

Even if a neural network is right 99 percent of the time, that missing 1 percent can have serious consequences, depending on the scenario. The researchers say they're confident that their new, streamlined trust test can help improve safety in real time, although the work has not yet been peer-reviewed.

"We're starting to see a lot more of these [neural network] models trickle out of the research lab and into the real world, into situations that are touching humans with potentially life-threatening consequences," says Amini.

"Any user of the method, whether it's a doctor or a person in the passenger seat of a vehicle, needs to be aware of any risk or uncertainty associated with that decision."

The research is being presented at the NeurIPS conference in December, and anonline paperis available.

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Artificial Intelligence Is Now Smart Enough to Know When It Can't Be Trusted - ScienceAlert

As new technologies offer a world of opportunities and benefits in many sectors, so too do they offer new avenues and for organized crime. It was true at the advent of the internet, and its true for the growing field of artificial intelligence and machine learning, according to a new joint reportby Europol and the United Nations Interregional Crime and Justice Research Center.

In the past social engineering scams had to be somewhat tailored to specific targets or audiences, through artificial intelligence they can be deployed en masse. (Source: Pixabay.com)At its simplest, artificial intelligences are human designed systems that, within a defined set of rules can absorb data, recognize patterns, and duplicate or alter them. In effect they are learning so that they can automate more and more complex tasks which in the past required human input.

However, the promise of more efficient automation and autonomy is inseparablefrom the different schemes that malicious actors are capable of, the document warned. Criminals and organized crime groups (OCGs) have been swiftly integrating new technologies into their modi operandi.

AI is particularly useful in the increasingly digitised world of organized crime that has unfolded due to the novel coronavirus pandemic.

AI-supported or AI-enhanced cyberattack techniques that have been studied are proof that criminals are already taking steps to broaden the use of AI, the report said.

One such example is procedurally generated fishing emails designed to bypass spam filters.

Despite the proliferation of new and powerful technologies, a cybercriminal's greatest asset is still his marks propensity for human error and the most common types of cyber scams are still based around so-called social engineering, i.e taking advantage of empathy, trust or naivete.

While in the past social engineering scams had to be somewhat tailored to specific targets or audiences, through artificial intelligence they can be deployed en masse and use machine learning to tailor themselves to new audiences.

Unfortunately, criminals already have enough experience and sample texts to build their operations on, the report said. An innovative scammer can introduce AI systems to automate and speed up the detection rate at which the victims fall in or out of the scam. This allows them to focus only on those potential victims who are easy to deceive. Whatever false pretense a scammer chooses to persuade the target to participate in, an ML algorithm would be able to anticipate a targets most common replies to the chosen pretense, the report explained.

Most terrifying of all however, is the concept of the so-called deepfakes. Through deepfakes, with little source material, machine learning can be used to generate incredibly realistic human faces or voices and impose them into any video.

The technology has been lauded as a powerful weapon in todays disinformation wars, whereby one can no longer rely on what one sees or hears. the report said. One side effect of the use of deepfakes for disinformation is the diminished trust of citizens in authorityand information media.

Flooded with increasingly AI-generated spam and fake news that build on bigoted text, fake videos, and a plethora of conspiracy theories, people might feel that a considerable amount of information, including videos, simply cannot be trusted. The result is a phenomenon termed as information apocalypse or reality apathy.

One of the most infamous uses of deepfake technology has been to superimpose the faces of unsuspecting women onto pornographic videos.

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Organized Crime Has a New Tool in Its Belts - Artificial Intelligence - OCCRP