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Out of the shadows and into the light: Embracing responsible AI practices amid bias and hallucinations Editor’s Choice Out of the shadows and into the light: Embracing responsible AI practices amid bias and hallucinations The path to widespread AI is a bumpy one. While its potential to enhance consumer experiences and streamline business operations through personalization, autonomy, and decentralized reasoning is evident, the technology comes with inherent risks. AI can produce conclusions that aren’t true, spread misinformation and in some cases, perpetuate existing biases. This -- the darker side of AI’s impact -- can leave business leaders facing financial, legal, and reputational damage. Lost in the Digital Dream AI is prone to hallucinations. These are instances where models draw a conclusion that while coherent, are detached from reality or from the input’s context. Similar to a human hallucination, AI can experience a digital mirage, blurring the lines between what’s real and what’s not. For instance, ChatGPT’s earlier version once responded to a neuroscientist that the Golden Gate Bridge was moved across Egypt in 2016. Such imaginative and unexpected outputs serve as a reminder that AI’s conclusions are not immune to errors or misinterpretations. But not all AI hallucinations will be this harmless. Businesses that rely on flawed AI outputs may be left with costly errors. In critical sectors like healthcare, this can quickly become a matter of life or death. Imagine a scenario where an AI system is designed to detect heart conditions. If the AI hallucinates a heartbeat irregularity, incorrect diagnosis could occur, resulting in unnecessary medical interventions and endangering patient safety. Bias in AI Models Problems also arise when AI models are based on biased datasets. Previously, Amazon used an AI-based recruitment tool to help hire employees. The AI tool had been trained on a data set that reflected historical and societal inequities which may exist even if normalized by removing those factors. Rather than helping to find the best candidates, the AI inadvertently discriminated against female applicants, systematically rejecting their resumes. Far from identifying the best candidates, the tool perpetuated existing inequities. This example highlights not only the reproduction of real-world biases in AI systems, but also the amplification of those biases, potentially worsening future outcomes. The absence of comprehensive regulations around AI can exacerbate these mistakes, leaving businesses without clear directives on prevention. As a result of hallucinations and biases, businesses can face lawsuits for negligence or discrimination, resulting in fines. Financial losses may arise from erroneous decisions and missed opportunities, while an untrustworthy AI model can drive customers away. These issues could leave organizations deeming AI as too risky, abandoning projects they had planned. In cases where uses of AI would increase productivity, these projects being dropped might leave staff with extra work. RAG to the Rescue Despite the inherent challenges, AI offers significant opportunities for businesses. By adopting the appropriate tools, models, and best practices, companies can effectively address potential issues and fully leverage AI's capabilities. Techniques like retrieval-augmented generation (RAG) are instrumental in tackling problems related to bias, fairness, and hallucinations. RAG models integrate retrieval mechanisms that enable access to extensive, diverse, and pertinent data. Leveraging a wide array of sources helps these models reduce the impact of biases found in smaller or more restricted datasets. RAG models also excel at generating responses that are grounded in verifiable information. This can eliminate AI hallucinations, providing data inputs that are enriched with context-specific information and retrieved from reliable sources. This means RAG models can be fine-tuned for specific tasks or use-cases, benefiting users by providing information that is unique to their situation. This is especially useful for businesses that don’t have the time or budget to retrain AI models with domain-specific datasets. In the recruiting example above, RAG can help inform the model with newer hiring guidelines, HR policies and equal employment opportunity laws, ensuring a broad and balanced approach for all candidates to receive fair and equal treatment. Practical Applications of RAG Beyond retrieving relevant information, businesses also benefit from RAG models’ ability to generate a natural response. Interactions with these models will generally be more conversational and user friendly. This is particularly useful for customer facing applications. RAG models should form a key part of a modern data approach. To enhance their effectiveness, RAG models require access to real-time data to ensure that information is as fresh and as accurate as possible. They should also be paired with an operational data store that holds information in high-dimensional mathematical vectors. Models can therefore convert a user’s query into numerical vectors when asked, allowing the AI to respond to relevant text inquiries even if they don’t precisely match the original terms or phrases. By using real-time data and databases that operate in vectors, AI model outputs remain up-to-date, reducing the risk of outdated information leading to hallucinations. Heading Towards a Brighter Future As we embark on the journey towards AI’s widespread adoption, organizations must be aware of the consequences of AI gone wrong. A comprehensive approach to AI is crucial. This paves the way for ethical, fair, and secure AI systems that enhance productivity and personalization without propagating misinformation. By prioritizing responsible AI practices, such as employing RAG models, businesses ensure AI remains a positive force in society, rather than something to be feared. Latanskiy Nick Latanskiy Nick 2024-05-30

Latest Reviews

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Detectify Unveils New Tools to Tackle Expanding Attack Surfaces News Detectify Unveils New Tools to Tackle Expanding Attack Surfaces As cyber threats advance, organizations face increasing challenges in managing their expanding attack surfaces. Detectify, a premier attack surface management platform, has addressed these concerns by introducing new features that provide users with enhanced control over their attack surface data. These updates aim to assist security teams in interpreting the vast array of insights derived from their data, thereby improving their ability to identify and respond to potential threats effectively. One of the standout features is the revamped Domains page, which now offers a comprehensive view of all monitored domains within an organization’s attack surface. This page continuously attributes data to each domain, including IP addresses, cloud providers, and fingerprinted technologies over time. This holistic view enables users to track anomalies and assess potential exposure risks more effectively. With the ability to directly create customized policies for their attack surface data, security teams can now respond more swiftly and accurately to emerging threats. In addition to the new Domains page, Detectify has also made significant improvements to its platform’s capabilities for setting custom attack surface policies. These enhancements allow users to configure alerts for policy breaches based on their own definition of risk. For instance, customers can now set policies to be alerted when a specific cloud provider appears on a set of domains. This level of customization empowers security teams to tailor their monitoring and response strategies to their unique risk profiles. Danwei Tran Luciani, VP of Product at Detectify, emphasized the importance of these updates for their global customer base. "Our users rely on hundreds of attack surface policies every day," Tran Luciani noted. "With these new features, they can set custom policies on a variety of new characteristics, providing greater control and precision in managing their attack surfaces." This granular control is expected to significantly enhance the effectiveness of security teams in mitigating potential threats. Detectify has rolled out the updated Domains page and improved attack surface policies for all Surface Monitoring users. Additionally, the company will keep adding new data points to the Domains page, enhancing the details of security policies that users can set up and get notified about. These updates underscore Detectify's dedication to equipping its users with the necessary tools and insights to stay proactive against the changing cyber threat landscape. Detectify's newest features mark a significant step forward in the fight against cyber threats. These updates offer organizations enhanced control over their attack surface data and allow for the creation of more detailed security policies. As a result, Detectify provides security teams with the essential tools needed to better protect their digital assets. With the expanding attack surface, these improvements are crucial for organizations to navigate the complex and ever-evolving landscape of cyber threats. Ava Reynolds Ava Reynolds 2024-05-28

News

Google's News Feed Gets Another Rebrand: Meet "Home" News Google's News Feed Gets Another Rebrand: Meet "Home" In the ever-evolving landscape of tech, names matter. Google seems to understand this more than most, constantly tweaking and rebranding its features. The latest in line for a name change is the Discover tab. Brace yourselves: it's now going to be known simply as "Home." Despite these name changes, the core functionality remains the same. You'll still be able to tap on it to get the latest news and updates curated just for you. So, what else is new? Google has a knack for keeping things fresh, and this isn't the first time the Discover tab has undergone a rebrand. Remember when it was called Google Now or even the Google Feed? Just when you were getting used to calling it Discover, here comes another change. Notably, this rebranding has been in the works for some time, with leaked screenshots hinting at the change as early as late 2023. A new name, but the same reliable news feed experience. It’s all about keeping the user experience seamless and intuitive. Interestingly, this isn't the only update Google has in store. A new tab called "Browse" is also on the horizon. According to Google tipster AssembleDebug, this tab will feature a series of pre-defined search terms. The exact purpose of the Browse tab remains somewhat mysterious. However, it’s fair to guess that it will suggest content Google deems relevant to you, based on your search history and interests. This could add a new layer of discovery, complementing the existing news feed. It’s clear that Google is committed to refining its app and providing users with the most relevant information. Despite the frequent rebranding, the essence of the feature remains consistent. The main goal is to enhance the user experience by making the app more intuitive and user-friendly. The introduction of the Browse tab indicates that Google is not just rebranding for the sake of it but is also adding functionality that could prove useful. As we transition from the Discover tab to the newly named "Home," it's important to recognize that this rebranding effort is part of Google's larger strategy to maintain an engaging and up-to-date user interface. Although the modifications might appear minor, they signify a profound dedication to enhancing user satisfaction. Whether this new name will be permanent or subject to future changes is uncertain. For the moment, users should acclimate themselves to accessing their curated news and updates through the new "Home" tab. Ava Reynolds Ava Reynolds 2024-05-30
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Editor's Choice

Out of the shadows and into the light: Embracing responsible AI practices amid bias and hallucinations Editor’s Choice Out of the shadows and into the light: Embracing responsible AI practices amid bias and hallucinations The path to widespread AI is a bumpy one. While its potential to enhance consumer experiences and streamline business operations through personalization, autonomy, and decentralized reasoning is evident, the technology comes with inherent risks. AI can produce conclusions that aren’t true, spread misinformation and in some cases, perpetuate existing biases. This -- the darker side of AI’s impact -- can leave business leaders facing financial, legal, and reputational damage. Lost in the Digital Dream AI is prone to hallucinations. These are instances where models draw a conclusion that while coherent, are detached from reality or from the input’s context. Similar to a human hallucination, AI can experience a digital mirage, blurring the lines between what’s real and what’s not. For instance, ChatGPT’s earlier version once responded to a neuroscientist that the Golden Gate Bridge was moved across Egypt in 2016. Such imaginative and unexpected outputs serve as a reminder that AI’s conclusions are not immune to errors or misinterpretations. But not all AI hallucinations will be this harmless. Businesses that rely on flawed AI outputs may be left with costly errors. In critical sectors like healthcare, this can quickly become a matter of life or death. Imagine a scenario where an AI system is designed to detect heart conditions. If the AI hallucinates a heartbeat irregularity, incorrect diagnosis could occur, resulting in unnecessary medical interventions and endangering patient safety. Bias in AI Models Problems also arise when AI models are based on biased datasets. Previously, Amazon used an AI-based recruitment tool to help hire employees. The AI tool had been trained on a data set that reflected historical and societal inequities which may exist even if normalized by removing those factors. Rather than helping to find the best candidates, the AI inadvertently discriminated against female applicants, systematically rejecting their resumes. Far from identifying the best candidates, the tool perpetuated existing inequities. This example highlights not only the reproduction of real-world biases in AI systems, but also the amplification of those biases, potentially worsening future outcomes. The absence of comprehensive regulations around AI can exacerbate these mistakes, leaving businesses without clear directives on prevention. As a result of hallucinations and biases, businesses can face lawsuits for negligence or discrimination, resulting in fines. Financial losses may arise from erroneous decisions and missed opportunities, while an untrustworthy AI model can drive customers away. These issues could leave organizations deeming AI as too risky, abandoning projects they had planned. In cases where uses of AI would increase productivity, these projects being dropped might leave staff with extra work. RAG to the Rescue Despite the inherent challenges, AI offers significant opportunities for businesses. By adopting the appropriate tools, models, and best practices, companies can effectively address potential issues and fully leverage AI's capabilities. Techniques like retrieval-augmented generation (RAG) are instrumental in tackling problems related to bias, fairness, and hallucinations. RAG models integrate retrieval mechanisms that enable access to extensive, diverse, and pertinent data. Leveraging a wide array of sources helps these models reduce the impact of biases found in smaller or more restricted datasets. RAG models also excel at generating responses that are grounded in verifiable information. This can eliminate AI hallucinations, providing data inputs that are enriched with context-specific information and retrieved from reliable sources. This means RAG models can be fine-tuned for specific tasks or use-cases, benefiting users by providing information that is unique to their situation. This is especially useful for businesses that don’t have the time or budget to retrain AI models with domain-specific datasets. In the recruiting example above, RAG can help inform the model with newer hiring guidelines, HR policies and equal employment opportunity laws, ensuring a broad and balanced approach for all candidates to receive fair and equal treatment. Practical Applications of RAG Beyond retrieving relevant information, businesses also benefit from RAG models’ ability to generate a natural response. Interactions with these models will generally be more conversational and user friendly. This is particularly useful for customer facing applications. RAG models should form a key part of a modern data approach. To enhance their effectiveness, RAG models require access to real-time data to ensure that information is as fresh and as accurate as possible. They should also be paired with an operational data store that holds information in high-dimensional mathematical vectors. Models can therefore convert a user’s query into numerical vectors when asked, allowing the AI to respond to relevant text inquiries even if they don’t precisely match the original terms or phrases. By using real-time data and databases that operate in vectors, AI model outputs remain up-to-date, reducing the risk of outdated information leading to hallucinations. Heading Towards a Brighter Future As we embark on the journey towards AI’s widespread adoption, organizations must be aware of the consequences of AI gone wrong. A comprehensive approach to AI is crucial. This paves the way for ethical, fair, and secure AI systems that enhance productivity and personalization without propagating misinformation. By prioritizing responsible AI practices, such as employing RAG models, businesses ensure AI remains a positive force in society, rather than something to be feared. Latanskiy Nick Latanskiy Nick 2024-05-30

Tips & Guides

Six Steps to Safeguarding Your Digital Identity Tips & Guides Six Steps to Safeguarding Your Digital Identity In today's interconnected world, each data breach chips away at our digital privacy. Consider the notable breach at AT&T, which exposed Social Security numbers and other sensitive personal information, making identity theft a significant threat. Following this incident, the proportion of users with compromised Social Security numbers in our databases skyrocketed from less than 1 percent to nearly 15 percent. The risks are exacerbated when such sensitive information becomes publicly accessible on the internet, not just on the dark web, which requires special software to access. These exposures increase the likelihood of misuse and emphasize the necessity of protecting our digital identities. The Threat of Identity Theft The most pressing threat from compromised data is identity theft. Malicious actors can access email, bank, and credit card accounts to impersonate victims. This can involve resetting passwords and taking control of phone numbers to bypass text message confirmations. Furthermore, armed with personal details, thieves might take out loans or credit cards in your name, a common and damaging form of identity theft. The danger extends beyond online fraud; stolen information can lead to physical crimes, putting victims at severe risk. Thus, it is vital to take robust measures to protect against these escalating threats. 1. Use Multi-Factor Authentication Everywhere Implementing multi-factor authentication (MFA) ubiquitously is paramount in reducing the likelihood of account breaches. Some sources suggest that accounts with MFA are 99.9 percent less likely to be compromised. By requiring additional verification steps, such as codes sent via text, email, or USB authenticator keys, MFA significantly enhances account protection and guards against compromised credentials. 2. Manage Password Risk Ensure the security of your key online and financial accounts by using distinct, robust, and lengthy passwords. Strive for a minimum of 15 characters, incorporating a blend of uppercase and lowercase letters, numbers, and symbols. Utilize password managers to safely store and handle these intricate passwords, as they can also generate strong passwords for you. Furthermore, consider creating a separate "junk" email for non-essential sign-ups, enhancing security and reducing the potential fallout from data breaches on your primary accounts. 3. Use Protection Across Your Devices Utilize trusted antivirus (AV) software on both desktop and mobile devices. Many people overlook the importance of AV on their phones, yet these devices often store credit card information and provide access to key accounts. Comprehensive AV protection across all devices is crucial for safeguarding sensitive data. 4. Secure Your Surfing Be mindful of the information you share online and with whom. Use incognito mode when possible, and provide false information where appropriate. A secondary email address, along with an alternate name, date of birth, and security question answers, can further protect your primary accounts. Additionally, when using public Wi-Fi or even at home, a virtual private network (VPN) can mask your location and encrypt data shared on the local network. 5. Regularly Monitor Continually monitor your online accounts and finances for suspicious activity. Identity Theft Protection services can help keep your data secure by scanning databases for any instances of your email address being linked to data breaches and alerting you to potential security risks. These services provide an efficient way to stay informed about the status of your personal information. 6. Stay Vigilant Remain alert to phishing and social engineering schemes, including deceptive emails or calls. Verify suspicious communications by contacting the company or organization directly through their official website, avoiding links or contact information provided in unsolicited messages. Reflect on whether you initiated the contact or if someone reached out to you, and proceed with caution if it’s the latter. Despite best efforts, scams can still occur. Promptly reacting to data breaches can prevent further damage and monetary loss. Identifying and addressing online weak spots, such as predictable passwords or a lack of MFA, is essential for robust identity protection. Adopting a careful and thorough strategy for safeguarding your identity ensures that even if your information is breached, you have preemptive steps implemented to shield your confidential data. These actions help defend your online presence against cyber hazards, offering reassurance in an ever-more connected world. Latanskiy Nick Latanskiy Nick 2024-05-27