Remove features privacy-controls
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ChatGPT Can Now Remember Your Style and Preferences

Analytics Vidhya

ChatGPT, the AI-powered chatbot developed by OpenAI, is undergoing a significant upgrade with the introduction of a memory feature. While this feature holds promise for streamlining interactions, it also raises questions about privacy and user control.

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How Bias Will Kill Your AI/ML Strategy and What to Do About It

Unite.AI

One example would be Apple’s facial recognition phone unlock feature, which failed at a significantly higher rate for people with darker skin complexions as opposed to lighter tones. This is where privacy-enhancing technologies (PETs) provide much-needed answers. The model hadn’t been trained on enough images of darker-skinned people.

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OpenAI’s ChatGPT Enterprise Focuses on Security, Scalability, and Customization

Unite.AI

Boasting of enhanced features like enterprise-grade security, unlimited GPT-4 access, longer context windows, and a slew of customization options, ChatGPT Enterprise promises to be an all-in-one AI assistant for modern businesses. . The platform is SOC 2 compliant and ensures that all conversations are encrypted both in transit and at rest.

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How Jamworks protects confidentiality while integrating AI advantages

IBM Journey to AI blog

Cloud-hosted AI services demand the transfer of sensitive information to external servers, which can raise questions about data ownership, jurisdiction and control. This can lead to compromised data security, potential breaches and an erosion of control over proprietary information.

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Forging a framework for central bank digital currencies and tokenization of other financial assets

IBM Journey to AI blog

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.

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Balancing Privacy and Performance: This Paper Introduces a Dual-Stage Deep Learning Framework for Privacy-Preserving Re-Identification

Marktechpost

Person Re-identification (Person Re-ID) in Machine Learning uses deep learning models like convolutional neural networks to recognize and track individuals across different camera views, holding promise for surveillance and public safety but raising significant privacy concerns.

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AI News Weekly - Issue #382: A Majority of AI decision makers worry about data privacy and security - Apr 25th 2024

AI Weekly

Powered by rws.com In the News 80% of AI decision makers are worried about data privacy and security Organisations are hitting stumbling blocks in four key areas of AI implementation: Increasing trust, Integrating GenAI, Talent and skills, Predicting costs. Download our GenAI Planning Roadmap to get your project off to the right start!

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