article thumbnail

LRQA Nettitude’s Approach to Artificial Intelligence

LRQA Nettitude Labs

Future Regulations Amongst the numerous challenges facing regulators, LRQA Nettitude anticipate that the initial focus will revolve around: Accountability : Determine who is accountable for compliance with existing regulation and the principles.

article thumbnail

ChatGPT accused of breaking data protection rules

Malwarebytes

Italy’s Data Protection Authority (GPDP) has uncovered data privacy violations related to collecting personal data and age protections after an inquiry into OpenAI’s ChatGPT. ChatGPT is an artificial intelligence (AI) chatbot that can engage in conversations with users, and answer their questions.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

ICO Guidance on Artificial Intelligence

Privacy and Cybersecurity Law

Secondly, in most cases where an organisation utilises AI, it will be mandatory to conduct a DPIA – and the ICO suggests that your DPIA process should both comply with data privacy laws generally but also conform to specific standards set out in the Guidance. Accountability and Governance. Share on Facebook. Share on Twitter.

article thumbnail

Data Security Trends: 2024 Report Analysis

Thales Cloud Protection & Licensing

A substantial number of organizations struggle to identify and classify their at-risk systems, applications, and data, with only a third (33%) achieving full classification. Alarmingly, 16% admitted to hardly classifying any of their data. Next came Post Quantum Cryptography with 45%.

article thumbnail

Biden Administration Announces New AI Safety Reporting Rules

SecureWorld News

The Biden Administration recently unveiled new rules requiring developers of major artificial intelligence (AI) systems to disclose vital information, especially related to safety testing, to the U.S. can lead the way on AI accountability. Department of Commerce.

article thumbnail

Importance of AI Governance Standards for GRC

Centraleyes

These challenges include guaranteeing algorithm fairness, preserving AI model transparency, and accountability for AI-driven results. Fairness, Explainability, Accountability, and Transparency Effective AI governance is built on fairness, explainability, accountability, and transparency, which limit risks associated with AI implementation.

article thumbnail

The Promise and Perils of AI in Healthcare

SecureWorld News

Artificial intelligence is rapidly reshaping many industries, and healthcare is no exception. Proponents argue the symbiosis of human expertise and artificial intelligence will usher in a new era of highly-personalized, predictive care that maximizes positive outcomes for patients worldwide.