Security News
Find out how Google Cloud approaches AI data, what privacy measures your business should keep in mind when it comes to generative AI and how to make a machine learning application "Unlearn" someone's data. Google Cloud approaches using personal data in AI products by covering such data under the existing Google Cloud Platform Agreement.
When companies utilize public generative AI tools, the models are refined on input data provided by the company. While publicly available generative AI tools permit natural language querying, world wide web data is not always applicable to the use case.
Research and development: Google uses information to improve our services and to develop new products, features and technologies that benefit our users and the public. We use publicly available information to help train Google's AI models and build products and features like Google Translate, Bard, and Cloud AI capabilities.
Spear Phishing with Social Engineering: AI can analyze vast amounts of publicly available data from social media, professional networks, or other sources to gather information about potential targets. Regulation and legal risks associated with AI refer to the potential liabilities and legal consequences that businesses may face when implementing AI technology.
Google Cloud's AML AI represents an advancement in the fight against money laundering. In this Help Net Security interview, Anna Knizhnik, Director, Product Management, Cloud AI, Financial Services, at Google Cloud, explains how Google Cloud's AML AI outperforms current systems, lowers operational costs, enhances governance, and improves the customer experience by reducing false positives and minimizing compliance verification checks.
We and our store and/or access information on a device, such as cookies and process personal data, such as unique identifiers and standard information sent by a device for personalised ads and content, ad and content measurement, and audience insights, as well as to develop and improve products. With your permission we and our partners may use precise geolocation data and identification through device scanning.
OpenAI is seeking researchers to work on containing super-smart artificial intelligence with other AI. The end goal is to mitigate a threat of human-like machine intelligence that may or may not be science fiction. "We need scientific and technical breakthroughs to steer and control AI systems much smarter than us," wrote OpenAI Head of Alignment Jan Leike and co-founder and Chief Scientist Ilya Sutskever in a blog post.
We're now in a different sort of resource rush, with companies peddling bits instead of oil: generative AI. Everyone is talking about these new AI technologies-like ChatGPT-and AI companies are touting their awesome power. Generative AI needs a wide variety of data, which means all of us are valuable-not just those of us who write professionally, or prolifically, or well.
The usage of platforms like Cash App, Zelle, and Venmo for peer-to-peer payments has experienced a significant surge, with scams increasing by over 58%. Additionally, there has been a corresponding rise of 44% in scams stemming from the theft of personal documents, according to IDIQ. AI voice technology. The report also highlights the rise of AI voice scams as a significant trend in 2023.
In this Help Net Security interview, Nadir Izrael, co-founder & CTO of Armis, discusses the global efforts and variations in promoting responsible AI, as well as the necessary measures to ensure responsible AI innovation in the United States. What are your initial impressions of the Biden-Harris Administration's efforts to advance responsible AI? Are they on the right track in managing the risks associated with AI? The effort to address the issue of responsible AI is a proactive step in the right direction.