July 28, 2023

July 27, 2023

July 29, 2023

  • Google

    Google Shares How It Treats .AI Domains For SEO

    Search Engine Journal, 07/28/23. In a Google SEO Office hours session, Google’s Gary Illyes surprised everyone by stating that .AI, a ccTLD associated with the Caribbean island of Anguilla, is treated as a gTLD (Generic Top Level Domain) by Google. This means that global companies can use .AI domains for their websites without unintentionally localizing it to Anguilla. Gary’s response highlights the importance of verifying whether a domain extension is treated as a ccTLD or a gTLD by Google, as it can affect the website’s ability to rank worldwide. Google publishes a list of ccTLDs treated as gTLDs, and .AI is included on that list. READ THE ARTICLE

  • Trust

    Intersection of generative AI, cybersecurity and digital trust

    TechTarget, 07/28/23. Generative AI has the power to create content that is highly realistic and can range from images and videos to text and audio. However, this technology also poses legal and cybersecurity risks. Intellectual property rights and ownership of AI-generated content are primary legal concerns. There are also challenges in ensuring the authenticity and origin of generative AI content. Cybersecurity risks include the use of AI-generated content for fraudulent purposes and the compromise of digital identity and authentication systems. To address these concerns, a multifaceted approach is necessary, including regulation, technology solutions, and a commitment to risk management. Organizations must safeguard their digital trust until comprehensive legislation is in place. READ THE ARTICLE

  • Bias

    AI tools could leave companies liable for anti-bias missteps

    ComputerWorld, 07/28/23. Lawmakers and experts are addressing privacy, security, and bias issues with generative artificial intelligence (AI). The responsibility for problems will fall on companies, rather than tech suppliers. The panel of experts emphasized the need for vigilance in preventing discrimination and biases in AI systems. They suggested that managing AI safety and biases requires management frameworks, not just technical expertise. They also discussed the importance of including diverse perspectives in AI decision-making. Companies using AI must be aware of their liabilities, consider privacy laws, and engage lawyers to navigate the risks. Implementing risk management frameworks, clear points of contact, testing, and routine auditing are also essential. READ THE ARTICLE

  • Chips

    Microsoft warns of service disruptions if it can’t get enough A.I. chips for its data centers

    CNBC, 07/28/23. Microsoft has highlighted the importance of graphics processing units (GPUs) for its cloud business in its annual report. The demand for GPUs has grown as top technology companies seek hardware to provide artificial intelligence capabilities. This surge in popularity is attributed to the success of OpenAI’s ChatGPT chatbot. GPU makers like Nvidia and AMD have benefitted from this trend. Microsoft is actively seeking more GPUs outside its own data centers to meet the increased demand and is even developing its own custom AI chip. READ THE ARTICLE

  • Cybersecurity

    Another AI Pitfall: Digital Mirroring Opens New Cyberattack Vector

    Dark Reading, 07/28/23. The rise of “digital twins” – AI assistants trained to learn about and mimic us – presents numerous risks and vulnerabilities. Hackers can use these AI assistants to create more sophisticated phishing emails and manipulate users’ subconscious preferences. The insecurity of large language models (LLMs) and their susceptibility to manipulation is a growing concern. It is challenging to detect and defend against compromised digital twins, as they can operate without detection and serve the interests of malicious actors. This poses a greater threat than traditional data theft or phishing. Psychological insights and social solutions may be necessary to address this evolving threat. READ THE ARTICLE