Tim Fawcett’s Post

"Artificial intelligence is on everyone’s lips. So perhaps it’s not surprising that this year’s Biometrics Institute Congress was filled with much hand-wringing about AI." In the world of #DigitalID, biometric vendors are currently debating how to define themselves in relation to #AI and how to engage with the current hype cycle. Get insights from Keren Weitzberg and Aaron Martin from inside this year's congress:

Imagine a world where your devices recognize you, understand your health and emotions, and predict your behavior. That world isn't the future—it's now. This week's edition of Silicon Sands News explores how integrating biometric data with AI revolutionizes healthcare and security industries. From advanced hearing aids that monitor your well-being to AI systems that enhance security through facial and voice recognition, the possibilities are endless. But with great power comes great responsibility: 🧬 How can businesses ethically harness biometric AI? 🔒 What safeguards are in place to protect our most personal data? 💸 How are investors shaping the future of AI with responsible practices? Join us as we explore the benefits, challenges, and critical balance between innovation and privacy in the age of biometric AI. 👉 Read the full article here:🔗 https://lnkd.in/g6-hGqAs 🔗 Let's shape the future of AI together—ensuring it's a future we're proud to inhabit. #AI #Biometrics #Privacy #Innovation #SiliconSandsNews

Facial recognition and other methods of biometric authentication are getting a boost from artificial intelligence. Thanks to learning algorithms, systems are becoming more efficient and accurate in confirming identity. Learn more about how these developments can improve fraud detection and bolster security infrastructure here: https://bit.ly/3TUPoEP #AI #facialrecognition #biometricsecurity #futureofsecurity

Could your voice be at risk of being cloned by AI? Recent advancements like OpenAI GPT-4 have shown how easy it is for AI to replicate voices. Protect your identity with voice biometrics, a technology that creates a unique voiceprint to keep your voice secure from unauthorized use. #VoiceSecurity #chatGPT4o #Openai #technology #AI #ArtificialIntelligence #AllAboutAI

The inner workings of a deepfake algorithm are complex. ⚙️ But the algorithms’ “secret sauce” has two important components. The first is that they develop a deep understanding of one person’s face and learn how to map those attributes to another face. Since most people have mouths, eyes, and noses in roughly the same place, a deepfake algorithm can analyze the characteristics of that anatomy and learn it to an exceptional level of detail. It then manipulates the features in a second video to match the features seen in the first. The algorithm does all that while keeping the original video’s general style and look. Another interesting deepfake algorithm characteristic is that they’re comprised of pieces that work in opposition of each other. As one piece manufactures phony data, there’s a secondary part that is trained to flag this phony data, helping to improve the results by pointing out what appears to be fake. A deepfake program can act as its own coach and teacher to improve the output. The results are a synthetic video that could be used with good or bad intent. When considering a synthetic video, it’s not hard to imagine why it might be dangerous. There’s the obvious risk that a person’s synthetic words or actions could incite someone to do something bad or dangerous. But an additional risk is that synthetic videos might start to undermine the believability of genuine videos. Privacy experts are understandably concerned that a deepfake might be used to spread misinformation on social media... Get more insights in the article: https://lnkd.in/edQ3K9jv #Biometrics #Deepfakes #AI #Security

AI has become a vital part of our lives, helping us in numerous ways, from simplifying daily tasks to tackling complex global issues. However, as AI advances, there are concerns about its potential to deceive, raising important questions about its role in our future. Early examples like chatbots showed how AI can mimic human conversation, sometimes blurring the lines between what’s real and artificial. Recent studies have uncovered instances where AI has acted deceptively, such as tricking humans in online interactions. While AI deception can have negative consequences, like influencing elections or manipulating markets, there are also situations where it could be beneficial, such as in therapy or cybersecurity. https://lnkd.in/dNKFiMnh #ai #election #human #conversation #future #cybersecurity #globalissues #studies #influencer #interaction

Google is updating its Generative AI Prohibited Use Policy, which establishes guidelines for the responsible use of generative AI tools within its products and services. This policy aims to ensure that users engage with these technologies in a manner that aligns with ethical standards and promotes safety.

Our latest blog dives into the parallels between Generative AI and biometrics, revealing how both technologies face similar adoption hurdles. From setting clear usage policies to discovering unexpected benefits, early adopters in GovCon are learning valuable lessons. Understand why integrating AI now is crucial and how it can streamline operations and boost productivity. Don't miss these insights—read the full blog by Jim McDermott: https://hubs.li/Q02Zd7Hf0 #GenAI #AIadoption #AItrends #Biometrics #TechAdoption #ProcurementSciences #Blog #InnovationCurve

Cutting edge research makes the world go round After getting inspired by Jason Haddix's ISSA Denver Chapter presentation on how gen AI can be used for cybersecurity, I've been doing a lot of digging and found two outstanding papers on that topic: ✔ First was "From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy" (https://lnkd.in/gBrKY7uF). Maanak Gupta, Ph.D. and team found 23 (!) use cases for generative AI and cybersecurity, ranging from attacking ChatGPT itself, to using it to run offensive and defensive campaigns ✔ Next up, "Digital Sentinels and Antagonists: The Dual Nature of Chatbots in Cybersecurity" (https://lnkd.in/gDYVRH88). Hannah Smzurlo and Zahid Akhtar mapped the progress of AI language models from the 1940s through the present. What's more, they talked about the value that each new generation of models brought. Reading their timeline made it easy to track how generative AI hit a tipping point and went from a novelty to a force to be reckoned with. ➡ While it's not a paper, shout out to Fabrice Rasir for his "Digital Sentinel" artwork (https://lnkd.in/gPrwZeH7). Just as cybersecurity is being transformed by AI, so is the art world and Fabrice Rasir is an AI artist to watch #breakingintocybersecurity #generativeai #blueteam #threatintelligence

How much do I need to change my face to avoid facial recognition? This article dives into the science and tech. #FacialRecognition #AI #Privacy https://zurl.co/pT1e