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While business and IT leaders are considering the risk potential that technology will create in areas such as customer service and software development, they are also increasingly aware of the possible disadvantages of new developments and risks that need attention.

For organizations to leverage the potential of large language models (LLM), they must also consider the technology’s hidden risks that could harm the business.

How do large language models work?

ChatGPT and other generative AI tools are powered by LLMs. They work by using artificial neural networks to process enormous amounts of text data. After learning the patterns between words and how they are used depending on the context, the model can interact with users in natural language.

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One of the main reasons for ChatGPT’s remarkable success is its ability to joke, write poetry, and generally communicate in a way that is difficult to distinguish from a real person. LLM-powered generative AI models used in chatbots like ChatGPT work like super-powerful search engines, using the data they learn to answer questions and perform tasks in human-like language.

LLM-based generative AI, whether publicly available models or proprietary models used internally within an organization, can expose companies to certain security and privacy risks.

Five important major language model risks

Oversharing of sensitive data LLM-based chatbots are not very good at keeping or forgetting secrets. This means that any data you type can be adopted by the model and made available to others, or at least used to train future LLM models.

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Copyright challenges LLMs are taught large amounts of data. However, this information is often retrieved from the web without the express permission of the content owner. Potential copyright issues may occur with continued use.

Insecure code Developers are increasingly turning to ChatGPT and similar tools to help them accelerate time to market. Theoretically, it can provide this assistance by quickly and efficiently creating code snippets or even entire software programs. However, security experts warn that this can also create security vulnerabilities.

Hacking the LLM itself Unauthorized access to and modification of LLMs can provide hackers with a number of options to perform malicious activities, such as enabling the model to disclose sensitive information through rapid injection attacks or performing other actions that should be prevented.

Data breach at AI provider There is always the possibility that a company developing artificial intelligence models may have its own data breached, for example, hackers stealing training data that may contain sensitive private information. The same goes for data leaks.

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Scientists made a surprising discovery with artificial intelligence

Scientists have made a surprising discovery with artificial intelligence. Here are all the details.

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Scientists have made a surprising discovery with artificial intelligence. Here are all the details.

Nowadays, artificial intelligence is becoming more and more intelligent, and in this context, more scientists have started to increase their studies. Now AI is helping engineers create solar panels from a “miracle material.” Scientists have long been excited about the possibility of new solar cells that could help bring AI’s vastly improved efficiency to mass production. Offering an efficiency of over 33 percent, significantly higher than traditional silicon solar cells, AI is helping to realize these dreams.

Scientists made a surprising discovery with artificial intelligence

Tandem solar cells also come with a number of other advantages. They are based on cheap raw materials and can be made relatively easily. However, engineers use this system cheap and they ran into a problem making it on a large scale. To make them efficient, manufacturers need to create a very thin, high-quality perovskite layer. It is quite difficult to do this. The development of the system, which was created as a result of an apparently complex process, was made possible by artificial intelligence.

Trying to improve this process often relied on a gradual process in which new possibilities were tested through trial and error. Now scientists have successfully built a new system that uses artificial intelligence to try and figure out how to better create these layers. Thus, solar panels will be created with the help of AI

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How senior leaders are embracing artificial intelligence technologies

Three out of every four executives see artificial intelligence technology as the most effective new technology.

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Three out of every four executives see artificial intelligence technology as the most effective new technology.

Generative artificial intelligence (AI) has rapidly become a global sensation in recent years. Predictions about the potential impact of this technology on society, employment, politics, culture and business are in the news almost every day.

Business leaders are also following these opportunities closely and believe that productive artificial intelligence will truly change the rules of the game. KPMG Based on this fact, prepared the “Productive Artificial Intelligence – 2023” report, which reveals how senior leaders in the business world approach this transformative technology.

The report includes survey data from 300 managers from different sectors and regions, as well as the opinions of artificial intelligence, technology enablement, strategy and risk management consultants.

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The most effective technology will be artificial intelligence

According to the report, business leaders are deeply interested in the capabilities and opportunities that generative AI can unlock and believe it has the potential to reshape the way they engage with customers, manage their businesses and grow their revenues.

Across industries, 77 percent of respondents name generative AI as the new technology that will have the biggest impact on businesses in the next 3 to 5 years.

This technology is followed by other technologies such as advanced robotics with 39 percent, quantum computing with 31 percent, augmented reality/virtual reality with 31 percent, 5G with 30 percent and blockchain with 29 percent.

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First artificial intelligence solutions

Although only 9 percent of respondents have already implemented productive AI, the majority of businesses (71 percent) plan to implement their first productive AI solution in 2 years or less, according to the survey.

64 percent of participants expect the impact of productive artificial intelligence on their businesses to be moderate within 3-5 years, and 64 percent believe that this technology will help their businesses gain a competitive advantage over their competitors.

Executives expect the impact of generative AI to be most visible in corporate areas such as innovation, customer success, technology investment and sales/marketing. IT/technology and operations stand out as the top two units that respondents are currently exploring to implement productive AI in their businesses.

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Managers do not consider using artificial intelligence to replace the workforce

The report also shows that executives expect productive AI to have a significant impact on their workforce, but they mostly see this technology as a way to augment the workforce rather than replace it.

But managers also recognize that some types of jobs may be at risk and that there are ethical considerations in redesigning jobs. Nearly three-quarters (73 percent) of respondents think generative AI will increase productivity, 68 percent think it will change the way people work, and 63 percent think it will spur innovation.

Over time, this technology can enable employers to meet the demand for highly skilled workers and shift employees’ time from routine tasks such as filling out forms and reports to more creative and strategic activities. However, managers are also alert to negativities.

46 percent of respondents believe job security would be at risk if productive AI tools could replace some jobs. The most vulnerable positions, according to respondents, will likely be administrative roles (65 percent), customer service (59 percent) and creativity (34 percent).

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There are still some obstacles to artificial intelligence

The report includes information about the opportunities offered by artificial intelligence as well as the obstacles facing it. According to the survey, the biggest obstacles to artificial intelligence applications are lack of qualified talent, lack of cost/investment, and lack of a clear situation regarding jobs.

Considering the worst-case scenarios of unplanned, uncontrolled productive AI applications, not to mention organizational hurdles, it is not surprising that managers feel unprepared to implement this technology immediately.

Because today’s most important asset in the business world is trust, and this trust is in danger. While a majority (72 percent) of executives believe generative AI can play a critical role in building and maintaining stakeholder trust, nearly half (45 percent) also say this technology could negatively impact trust in their business if appropriate risk management tools are not used.

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Cyber ​​attacks increased with artificial intelligence

According to experts, financial institutions and organizations need to strengthen their defenses in 2024, as threats increase due to the widespread use of artificial intelligence and automation.

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In its crimeware report and financial-focused attack forecasts for 2024, the cybersecurity company predicts an increase in cyber attacks, exploitation of direct payment systems, a resurgence of banking Trojans in Brazil, and an increase in open-source backdoor packages.

In the report It also includes a comprehensive review of the accuracy of last year’s predictions, highlighting trends such as the increase in Web3 threats and increased demand for malware installers.

In the light of all these predictions, the year 2024 will bring proactive cyber security strategies, sector cooperation and Security Last year, experts correctly predicted the rise in Web3 threats, the growing demand for AI-powered malware installers, and that ransomware groups would turn to more destructive activities. The prediction regarding “Red Team” frameworks and Bitcoin payment exchange has not yet come true.

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Looking ahead, an AI-driven increase in cyber attacks that mimic legitimate communication channels is predicted in 2024.

This is a situation that will lead to the proliferation of low-quality campaigns. Kaspersky experts expect the emergence of malware focused on data copied to the clipboard and the increased use of mobile banking Trojans as cybercriminals take advantage of the popularity of direct payment systems.

Malware families like Grandoreiro have already expanded abroad, targeting more than 900 banks in 40 countries.

Another worrying trend in 2024 could be the increasing trend in open source backdoor packages. Cybercriminals will exploit vulnerabilities in widely used open source software to compromise security, potentially leading to data breaches and financial losses.

Experts predict that interconnected groups in the cybercrime ecosystem will exhibit a more fluid structure in the coming year, with members frequently moving between multiple groups or working for more than one group at the same time. This alignment will make it difficult for law enforcement to track these groups and effectively combat cybercrime. Cyber ​​attacks have increased with artificial intelligence.

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