Aware, Inc.’s Post

Are concerns about safety holding your organization back from deploying generative AI? While many AI concerns are overblown, we have some thoughts on the real risks associated with AI, and how you can mitigate them. Some of the ways that bad actors can use AI to do harm include generating phishing e-mails that are difficult to distinguish from legitimate communications, voices that convincingly impersonate trusted officials, and false documentation for purposes of fraud or to create false evidence of wrongdoing. Read the entire post: https://lnkd.in/g-kSczsv #AI #ChatGPT #Security #applicationsecurity #pentest https://lnkd.in/g-kSczsv

https://lnkd.in/eTkERrpG The Security Risks of Generative AI Package Hallucinations

The AI Threat: Deepfake or Deep Fake? Unraveling the True Security Risks: When it comes to adversarial use of AI, the real question is whether the AI threat is a deep fake, or whether the deepfake is the AI threat. The post The AI Threat: Deepfake or Deep Fake? Unraveling the True Security Risks appeared first on SecurityWeek.

Generative AI and a Threat to National Security. In recent years, Artificial Intelligence and Generative Artificial Intelligence have become hot topics primarily for negative reasons. For these reasons, the Centre for Emerging Technology and Security (CETaS) has produced a full report of all issues and solutions associated with the use of Generative AI. Read More Below https://lnkd.in/ei_kF8Ge

In the digital age, AI is crucial in combating deepfakes and misinformation, which pose serious threats to privacy, security, and trust. AI detects deepfakes by identifying subtle patterns and flags misinformation by analyzing linguistic structures. Challenges include the need for labeled data and the arms race between creation and detection techniques. Continued research and collaboration are key to enhancing AI's effectiveness in safeguarding truth and trust in the digital realm.

In the digital age, AI is crucial in combating deepfakes and misinformation, which pose serious threats to privacy, security, and trust. AI detects deepfakes by identifying subtle patterns and flags misinformation by analyzing linguistic structures. Challenges include the need for labeled data and the arms race between creation and detection techniques. Continued research and collaboration are key to enhancing AI's effectiveness in safeguarding truth and trust in the digital realm.

As part of our core mission to help organisations use AI safely and wisely, Mark and I have just launched Wisely AI's latest white paper, "De-Risking AI". It highlights and explains five new risks of Generative AI tools: anthropomorphising; malicious and commercially protected training data; hallucinations; privacy, data security and data sovereignty; and prompt attacks. The white paper addresses each in detail, and suggest strategies to mitigate these risks. Read or download here:

"De-Risking AI", Wisely AI's latest white paper, highlights and explains five new risks of Generative AI tools: anthropomorphising chatbots; malicious and commercially protected training data; hallucinations; privacy, data security and data sovereignty; and prompt attacks. The white paper addresses each in detail, and suggest strategies to mitigate these risks. It's part of our core mission to "help organisations use AI safely and wisely." Read or download here: https://lnkd.in/gV-peEKB

In the digital age, AI is crucial in combating deepfakes and misinformation, which pose serious threats to privacy, security, and trust. AI detects deepfakes by identifying subtle patterns and flags misinformation by analyzing linguistic structures. Challenges include the need for labeled data and the ongoing arms race between creation and detection techniques. Continued research and collaboration are key to improving AI's effectiveness in safeguarding truth and trust in the digital era.

Snowden Calls Out OpenAI's "Calculated Betrayal" Over GPT-2 Release [#AIEthics #OpenAI #GPT2] In an enlightening discussion, Edward Snowden criticizes OpenAI for not fully releasing its advanced AI model, GPT-2. He labels this action as a "calculated betrayal" to the AI community and the public, sparking a significant debate on the ethics of AI development and distribution. 🔍 The Core Issue Snowden's critique raises vital questions about the balance between innovation and security in AI. He warns against the dangerous precedent of restricting access to new technologies out of fear, alongside highlighting the problem of power concentration within a few tech giants. 🤔 Let's Delve Deeper Do you think withholding AI technology for security reasons is justifiable, or does it hinder progress and innovation? How can we ensure that the development and distribution of advanced AI technologies remain inclusive yet secure? By contemplating these questions, we can explore ways to foster a more open and collaborative AI future. #ArtificialIntelligence #TechnologyEthics #Innovation #CyberSecurity #EdwardSnowden Snowden's concerns point towards a broader debate on who gets to decide the boundaries of AI usage and the implications of such decisions on global technological advancement. What's your take on this contentious issue? Share your thoughts below. 👇 Read the full article here: https://lnkd.in/eynaWHpe