The rapid development of artificial intelligence poses similar risks to those seen with social media, with concerns about disinformation, misuse, and impact on the job market, according to Microsoft President Brad Smith. Smith emphasized the need for caution and guardrails to ensure the responsible development of AI.
A.I. models pose a challenge to data privacy as it is difficult to remove user data from these models without resetting or deleting the entire model, presenting a collision course with inadequate privacy regulations, according to experts.
Big Tech companies are using personal data to train their AI systems, raising concerns about privacy and control over our own information, as users have little say in how their data is being used and companies often define their own rules for data usage.
Microsoft's new policy offers broad copyright protections to users of its AI assistant Copilot, promising to assume responsibility for any legal risks related to copyright claims and to defend and pay for any adverse judgments or settlements from such lawsuits.
Microsoft will assume responsibility for potential legal risks arising from copyright infringement claims related to the use of its AI products and will provide indemnification coverage to customers.
Artificial Intelligence poses real threats due to its newness and rawness, such as ethical challenges, regulatory and legal challenges, bias and fairness issues, lack of transparency, privacy concerns, safety and security risks, energy consumption, data privacy and ownership, job loss or displacement, explainability problems, and managing hype and expectations.
Companies such as Rev, Instacart, and others are updating their privacy policies to allow the collection of user data for training AI models like speech-to-text and generative AI tools.
The generative AI boom has led to a "shadow war for data," as AI companies scrape information from the internet without permission, sparking a backlash among content creators and raising concerns about copyright and licensing in the AI world.
Microsoft AI research division accidentally leaked terabytes of sensitive data through a misconfigured Azure Blob storage bucket, exposing personal information and internal messages, highlighting the security risks of Shared Access Signature tokens and the need for better monitoring and governance.
Microsoft accidentally leaked large amounts of data when researchers shared a misconfigured link on GitHub, granting full access to a 38TB cloud storage account.
As AI technology progresses, creators are concerned about the potential misuse and exploitation of their work, leading to a loss of trust and a polluted digital public space filled with untrustworthy content.
Microsoft's recent updates focused on AI-driven features like Copilot and Bing Chat, but while these advancements are impressive, concerns over privacy outweigh the benefits.
AI researchers from the University of North Carolina reveal the difficulty in removing sensitive data from large language models, highlighting that the information remains even after deletion attempts, posing challenges for data privacy.
Big tech firms, including Google and Microsoft, are engaged in a competition to acquire content and data for training AI models, according to Microsoft CEO Satya Nadella, who testified in an antitrust trial against Google and highlighted the race for content among tech firms. Microsoft has committed to assuming copyright liability for users of its AI-powered Copilot, addressing concerns about the use of copyrighted materials in training AI models.
Microsoft Copilot, an AI assistant that lives within Microsoft 365 apps, has the ability to access and compile sensitive data, posing potential risks for information security teams.
