Slack AI Training with Customer Data
Hacker News
MAY 16, 2024
Slack's Terms and Policies, including privacy, Terms of Service, API terms, security, and more.
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“Confidential” 988 Conversation Records Shared with Corporations
Hacker News
JUNE 8, 2024
This piece addresses issues around privacy and the sharing of the contents of conversations for AI development. Electronic Privacy Information Center (EPIC) counsel Chris Frascella called these latter claims a “red flag” that Vibrant wants to avoid HIPAA’s confidentiality requirements for mental health care records.
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Zoom Uses Customer Data for AI Training; Faces Legal Quandary
Analytics Vidhya
AUGUST 11, 2023
The controversy centers around its recent terms and conditions, sparking user outrage and raising pertinent questions about data privacy and consent. In a new twist of events, Zoom, the popular videoconferencing platform, is entangled in a legal predicament regarding using customer data for training artificial intelligence (AI) models.
Google’s Social Learning: LLMs unite for collective knowledge
Dataconomy
MARCH 11, 2024
Google has rolled out an innovative AI framework termed “Social Learning,” designed to boost the collaborative prowess of language models while safeguarding user privacy. Furthermore, teacher models have the ability to craft new scenarios or create specific task instructions, enriching the educational journey.
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Third-Party Data Is Now First-Class
Adrian Bridgwater for Forbes
APRIL 21, 2023
The new reality of data sharing might seem somewhat at odds with the way we have always talked about data privacy up to now, but this is sharing of data shapes, trends, flows, weights & movements with an additional view into outliers & anomalies… rather than actual data ‘values’ in specific terms.
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eDiscovery: Unlocking the Power of AI in Document Review
Data Science Dojo
JANUARY 21, 2024
The Role of AI in eDiscovery AI is a broad term that encompasses various technologies, including machine learning, natural language processing, and cognitive computing. These include issues related to data privacy, the accuracy of AI algorithms, and the need for human oversight. However, this raises concerns about data privacy.
Facebook settlement payout date 2024 details are here
Dataconomy
JANUARY 26, 2024
This development heralds a pivotal moment for millions of Facebook users who have been closely following the case, anticipating a tangible acknowledgment of their privacy concerns. This case, which has been in the courts for a while, ends in a significant way for users who felt their privacy was compromised.
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Now you can turn off Instagram read receipts
Dataconomy
JANUARY 25, 2024
In practical terms, this means users can now customize read receipts on a per-chat basis. Within this menu, a new “Privacy & Safety” option is available, offering the ability to toggle off the “Read Receipts” switch. Need some privacy? This will open a menu with various options.
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OpenVPN Is Open to VPN Fingerprinting
Hacker News
MARCH 15, 2024
VPN adoption has seen steady growth over the past decade due to increased public awareness of privacy and surveillance threats. We discuss the implications of the VPN fingerprintability for different threat models and propose short-term defenses.
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Google incognito lawsuit settled by the giant
Dataconomy
DECEMBER 29, 2023
Join us as we unravel the story of Google’s Incognito controversy, where a huge settlement and questions about privacy take the spotlight. In 2020, Google found itself entangled in a legal battle when users accused the tech giant of breaching their privacy through its Chrome browser’s Incognito mode.
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Naz API breach concerns 71 million emails, says Have I been Pwned
Dataconomy
JANUARY 18, 2024
The Naz API breach, a colossal and complex event, has surfaced as a pivotal discussion point in the realm of digital privacy and safety. It represents a profound intrusion into the privacy and security of an astonishing 71 million individuals whose email addresses are linked to this breach. FNF data breach that affected 1.3
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Responsible AI for Nonprofits: Shaping future technologies
Data Science Dojo
JUNE 5, 2023
Privacy and data protection: Non-profit organizations often handle sensitive data about their beneficiaries or stakeholders. Implementing AI systems must take into account privacy regulations and ensure that data is protected throughout the AI lifecycle, from collection and storage to processing and sharing.
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Google updates AI ToS, affirms user ownership of AI outputs
Dataconomy
APRIL 17, 2024
Google has recently made updates to its Terms of Service, particularly concerning its AI tools, marking a strategic move in how it handles AI-generated content and user data. Google states that it will not claim ownership of the AI-generated content, emphasizing that users retain ownership of their inputs and the outputs from these AI tools.
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How to make AI-crafted songs with Covers AI
Dataconomy
SEPTEMBER 13, 2023
The best AI voice generator you looking for is in this list Privacy focused Your AI voice model is securely stored and only accessible via a private link, ensuring that your voice and your creations remain private and are used solely by you. .” Click the “ Let’s Go ” button to submit your choices.
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Forging a framework for central bank digital currencies and tokenization of other financial assets
IBM Journey to AI blog
FEBRUARY 1, 2024
Under such centrally governed systems, accountability needs to co-exist with privacy, while both need to respect the need for authorized audits. That ceiling has been shattered by recent work done by IBM Research®, which delivers a high performing framework for CBDCs that combines privacy, regulation compliance and advanced resilience.
Exploring the rising impact of cryptocurrency exchanges on data-driven markets
Dataconomy
FEBRUARY 19, 2024
Advances in technology, such as cold storage for funds, two-factor authentication, and continuous security audits, have become minimum standards for platforms that value their user trust and investments long-term. Strong encryption and privacy policies are the shields protecting this sensitive information from prying eyes.
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Leveraging Generative AI in Genomics with IBM’s watsonx Platform
IBM Data Science in Practice
JUNE 10, 2024
Data Access and Collection: Accessing and collecting high-quality genomic data is a challenging for various reasons, including but not limited to: Privacy and Ethical concerns, sequencing costs, limited access to participants and proprietary restrictions. Ensuring the security and privacy of this data is paramount.
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Cornell University Discovers a Huge Threat at the Core of ChatGPT
Towards AI
NOVEMBER 13, 2023
As most cases require the GenAI model to have “long-term memory” almost every enterprise solution requires a vector database the model can query at run time to retrieve the context required to answer the user inquiry. Also, this discovery gives us tremendous insights into one of the most unknown components of frontier AI models today.
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Zoom AI tools will be trained with user data
Dataconomy
AUGUST 8, 2023
Zoom’s new terms of service enable the use of customer data to enhance Zoom AI models. Zoom’s latest amendment to its terms doesn’t only dwell on software licensing, beta services, and compliance; it dives deeper to disclose a significant aspect of Zoom’s AI strategy. Section 10.2
US Launches Data Privacy Framework Program Website: Here’s What You Should Know
ODSC - Open Data Science
AUGUST 16, 2023
The United States Department of Commerce has just unveiled its Data Privacy Framework Program (DPF) website , which provides more than just information about ensuring data privacy. Clarifying data privacy Before going into the DPF details, here’s a brief overview of data privacy.
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Android Studio gets a major AI boost with Google Gemini
Dataconomy
APRIL 9, 2024
Access to the Gemini API starter template is streamlined through Android Studio ( Image credit ) For privacy considerations, Google mandates that users log in and activate Gemini explicitly to utilize its features. Moreover, the chatbot tailors its responses based on the developer’s previous interactions and the context given.
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9 crucial factors for choosing where to hire developers
Dataconomy
APRIL 17, 2024
Whether you’re prioritizing skillset availability, cost-effectiveness, or long-term partnership potential, this list will help you navigate the decision-making process with confidence. Choose platforms with a proven track record of delivering quality results, maintaining transparency, and fostering long-term client relationships.
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Synthetic data in machine learning: 7 reasons why you need it
Data Science Dojo
OCTOBER 9, 2023
Privacy: No need to collect personal information. Learn in detail about —> Cracking the large language models code: Exploring top 20 technical terms in the LLM vicinity Data augmentation Data augmentation is a widely practiced technique in machine learning aimed at expanding training datasets.
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Tales & Tips from the Trenches: Demystifying Edge Computing
The Data Administration Newsletter
MAY 18, 2021
With increasing number of Internet of Things (IoT) getting connected and the ongoing boom in Artificial Intelligence (AI), Machine Learning (ML), Human Language Technologies (HLT) and other similar technologies, comes the demanding need for robust and secure data management in terms of data processing, data handling, data privacy, and data security.
Roblox biometric location tracking rumors are causing concerns
Dataconomy
JANUARY 3, 2024
Ensure that you are comfortable with your new location setting as it may have long-term implications on your account. Teach children about the risks of sharing personal information online and the importance of maintaining privacy in digital spaces. Encourage them to share their experiences and any concerns they may have.
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10 Challenges to Big Data Security and Privacy
Dataconomy
JULY 28, 2017
Big Data could not be described just in terms of its size. The post 10 Challenges to Big Data Security and Privacy appeared first on Dataconomy. However, to generate a basic understanding, Big Data are datasets which can’t be processed in conventional database ways to their size. However, such huge amounts.
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AI-powered personalized learning: How technology is revolutionizing education
Dataconomy
OCTOBER 9, 2023
Artificial Intelligence (AI) – a term that once felt like a page out of a science fiction novel is now a tangible reality, deeply ingrained in our everyday lives. Data Privacy: AI systems rely heavily on the collection and analysis of vast amounts of data, leading to serious concerns about data privacy and protection.
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Cencora data breach is unfortunately confirmed
Dataconomy
FEBRUARY 28, 2024
Privacy invasion: Sensitive personal information, when exposed, can lead to privacy invasion, with individuals potentially experiencing harassment or blackmail. Reputational damage: The public perception of a company can be severely damaged by a data breach, affecting its brand and long-term profitability.
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Synthetic data generation: Building trust by ensuring privacy and quality
IBM Journey to AI blog
NOVEMBER 29, 2023
Sharing and monetizing a high-quality, privacy-protected synthetic replica with internal stakeholders or external business partners. That said, synthesizing data offers more protection against traditional data privacy and data anonymization techniques (think of masking), while also doing a better job of preserving the data’s utility.
AI has many obstacles in its way
Dataconomy
JULY 6, 2023
Privacy concerns AI systems often rely on vast amounts of data to train and operate effectively. However, this data can include personal and sensitive information, leading to concerns regarding privacy and data protection. Ensuring data security and privacy throughout the AI lifecycle is critical to building user trust.
Users seeks justice with 23andMe data breach class-action lawsuit
Dataconomy
DECEMBER 8, 2023
million users, the genetic testing company quietly updated its terms of service to prevent customers from suing the company or joining class-action lawsuits. This move raises serious concerns about the company’s attempt to shield itself from legal repercussions and its disregard for user privacy.
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The crucial role of data security management in the digital age
Dataconomy
JANUARY 10, 2024
Keeping up with emerging technologies As technology continues its advancement, new digital trends and technologies emerge that demand attention in terms of data security management. While these advancements open up possibilities for businesses, they also bring forth challenges in terms of protecting data privacy and ensuring security.
Data Integrity Trends for 2023
Precisely
JANUARY 17, 2023
Cloud computing offers some advantages in terms of scalability and elasticity, yet it has also led to higher-than-ever volumes of data. At the same time, enterprises must diligently look after privacy, security, and regulatory concerns. Here are some trends that will command the attention of business leaders in 2023 and beyond.
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Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Smart Data Collective
MAY 25, 2023
Every day, a massive amount of information is generated, processed, and stored, and it is critical for everyone who offers their services online to prioritize privacy and ensure responsible data practices. Data ethics involves the ethical handling of data, safeguarding privacy, and respecting the rights of individuals.
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Meet the Worldcoin Orb, the eye scanner that claims to change the world
Dataconomy
JULY 31, 2023
It’s not just an ordinary camera; it is a secure means of unequivocally determining personhood while steadfastly safeguarding user privacy. Striking a balance between privacy and regulatory compliance becomes critical to ensure the system’s integrity. For more information about the Worldcoin Orb, click here.
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Exploring Anthropic’s Claude 3 and its Position Among the Leading AI Chatbots
Data Science Dojo
MARCH 10, 2024
Comparing across multiple benchmarks – Source: Anthropic Data processing capacity In terms of data processing, Claude 3 can consider much larger text at once when formulating a response, unlike the 64,000-word limit on GPT-4. Moreover, the Opus raises the benchmarks for coding, knowledge, and presenting a near-human experience.
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Open AI and mobile app development: Weighing the advantages and disadvantages
Data Science Dojo
JUNE 16, 2023
We will explore the benefits and potential drawbacks of OpenAI in terms of enhanced user experience, time-saving, cost-effectiveness, increased accuracy, and predictive analysis. Data privacy concerns: OpenAI relies on data to learn and make predictions, which can raise privacy concerns.
Why the AI boom needs Web3: The privacy challenge
Ocean Protocol
SEPTEMBER 26, 2023
The country restricted access to the application due to the concerns over user privacy and data. While she’s at it, though, Alice may want to seriously consider another piece of this puzzle: privacy. At a first glance, there’s an inherent tension between AI and privacy.
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Why Data Security is Critical to Creating Effective AI Programs
ODSC - Open Data Science
JUNE 20, 2023
Models can Suffer “Poisoning” AI model poisoning is a relatively new term that is set to enter mainstream jargon soon. Data Privacy is Critical The previous decade witnessed the rise of sophisticated data privacy laws and frameworks and increased consumer awareness of the importance of data security.
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Data Processing Agreements in 2023
ODSC - Open Data Science
MAY 9, 2023
Data privacy is a field of law that is constantly evolving and changing. In a data processing agreement, the term “data controller” refers to the company requesting to use the client’s data. Interest in GDPR and DPA agreements will only increase as the public becomes more aware of data privacy issues. What Is a Data Controller?
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What Your Phone Number’s Metadata Means for Data Privacy
Smart Data Collective
AUGUST 11, 2023
More people than ever are concerned about data privacy these days. One poll by IPSOS found that 63% of Americans state that data privacy is a major concern. We usually think about our Internet use when it comes to data privacy. This just goes to show that data privacy is more of a luxury than a right today.
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Announcing the first Machine Unlearning Challenge
Google Research AI blog
JUNE 29, 2023
While this progress is very exciting, the widespread use of deep neural network models requires caution: as guided by Google’s AI Principles , we seek to develop AI technologies responsibly by understanding and mitigating potential risks, such as the propagation and amplification of unfair biases and protecting user privacy.
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ChatGPT API key: Everything you need to know
Dataconomy
JANUARY 16, 2024
How does the ChatGPT API handle data privacy? OpenAI is committed to data privacy and security. Users should review OpenAI’s privacy policy for detailed information on data handling. Common languages used include Python, JavaScript, Java, and C#. Can the ChatGPT API be used for commercial purposes?
What to expect from Galaxy AI?
Dataconomy
JANUARY 16, 2024
So, what are the Rumored Samsung Galaxy S24 AI features, and what should we expect from the Unpacked 2024 event in terms of all the announcements and other little hints? Privacy-focused AI features Rumored Samsung Galaxy S24 AI features includes privacy too. Samsung is focusing on privacy with its AI features.
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