Erez Rachmil’s Post

🌟 AI: The Fuzzy Frontier 🌟 AI is like humans—unpredictable and imperfect. 🤖⚡ While it has massive potential, it poses significant risks that require careful handling for safety and fairness. 🔍 Top Domains Where AI is Popular: 🏥 Healthcare: Tools like IBM Watson assist in diagnostics, with the market expected to reach $187.7 billion by 2030. However, reliance on AI for diagnoses can lead to misdiagnoses, putting patient safety at risk. 💰 Finance: PayPal uses AI to analyze transactions in real time, preventing fraud. With 72% of financial institutions adopting AI, there's a risk of algorithmic bias, which can unfairly impact access to credit for certain groups. 🔒 Security: CrowdStrike employs AI to detect cyber threats and protect against data breaches. While regulations like GDPR help with data protection, there are ongoing risks of data misuse and privacy violations. 💡 Humans and AI AI can be biased and flawed, highlighting the need for strong regulations and ethical standards to mitigate these risks. What are your thoughts on AI’s role in the future? Let’s discuss how we can shape it responsibly! #AI #Technology #EthicalAI #AIRegulation #FutureOfTech

I will repeat this as many times as I can.... everyone and I mean everyone benefits from the work that Shuman Ghosemajumder & his team at Reken are doing. They are tackling #AI issues that we as a whole can't even begin to wrap our heads around. #cybercrime #cybersecurity #artificialintelligence #deepfakes #dataprivacy

Listen to Shuman Ghosemajumder and Warren!

AI is a powerful technology that can enhance the performance and efficiency of any business. However, adapting AI in your company requires careful planning and preparation. One of the key factors for successful AI adoption is data quality. AI systems rely on data to learn and improve, so having high quality and relevant data is essential. You need to have a clear strategy of what you want as an outcome from AI. You should adapt AI to your business strategy and not the other way around. This means identifying the problems that you want to solve, the opportunities that you want to seize, and the value that you want to create with AI. A third factor for successful AI adoption is technical staff. AI systems require skilled and experienced professionals to design, develop, deploy, and maintain them. A fourth factor for successful AI adoption is budget and maintenance. AI systems are not one-time investments, but rather ongoing projects that require regular updates, upgrades, and improvements. A fifth factor for successful AI adoption is cybersecurity. AI systems are not immune to cyberattacks and may pose new vulnerabilities and risks for your company. Therefore, you need to ensure that your AI systems are secure, reliable, and trustworthy. Furthermore, you may need to consider getting a proper cyber insurance, as AI systems may incur liabilities or damages that are not covered by your standard insurance policies.   I can assist you with the last one  😀 #AI #cyberawareness #grecospecialty

"AI will be used by criminals to commit crimes" Access to and knowledge of AI technology for everyone is crucial to creating a balanced and fair development of society. AI has the potential to revolutionize many sectors, from healthcare to education, and to solve complex problems like the climate crisis and poverty. However, the same technology can be misused by criminal actors who exploit AI for hacking, surveillance, and other malicious purposes. To counter this, it is important that the entire society, not just a few, has access to AI tools and knowledge. When more people are able to understand, develop, and use AI, we can create robust systems that protect against criminal exploitation. This includes better cybersecurity, improved privacy, and the ability to detect and combat AI-driven fraud. Furthermore, democratic access to AI ensures that the technology is used for ethical purposes and for the common good, such as promoting justice, inclusion, and sustainability. When many people have AI skills, the likelihood increases that the technology will be used to strengthen society while minimizing the risks of misuse. By encouraging broad participation in AI development, we can build a stronger defense against criminals using the technology for destructive purposes. - OpenAI. (2024). Svar generert av ChatGPT [AI-assistent]. Hentet fra OpenAI ChatGPT. #AI #ArtificialIntelligence #Cybersecurity #EthicalAI #TechForGood #Inclusion #Sustainability #Innovation #FutureTech

Interesting read on how we are moving to the next industrial revolution. [Article: https://lnkd.in/gN8SsHWi] The Fifth Industrial Revolution blends human creativity with AI technologies. To stay competitive, companies should consider incorporating AI into their work processes as well as providing AI training to their employees. AI training boosts efficiency and innovation by equipping your team with the necessary skills. It reduces the fear of obsolescence and fosters a culture of continuous learning. With AI-driven insights, your team can make smarter decisions, driving innovation and productivity. Start by assessing your AI needs, creating a structured training plan, and promoting ongoing learning. Measure success and adapt as needed. Investing in AI training prepares your team for future growth and innovation. Its time to embrace the AI wave! #artificialintelligence #corporatetraining #training #AItraining #Singapore

As Generative AI Takes Off, Researchers Warn of Data Poisoning By tampering with the data used to train AI models, hackers could spread misinformation and steal data JON KRAUSE By Jackie Snow March 14, 2024 at 10:00 am ET Generative AI’s ability to create new and original content—from text and video to images, artwork and more—holds great promise for enhancing human productivity. But with these abilities come increased hacking risks. As generative AI technology takes off, some researchers are raising concerns about the potential for an attack known as data poisoning. This is when malicious actors insert incorrect or misleading information into the data used to train an AI model with the aim of spreading misinformation, undermining the chatbot’s functionality or getting it to do something bad, such as share sensitive information. Copyright ©2024 Dow Jones & Company, Inc. All Rights Reserved.