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- Unlocking Neural Privacy: The Legal and Ethical Frontiers of Neural . . .
It highlights issues such as the accuracy of neural data, transparency challenges and the risk of discrimination, particularly in artificial intelligence-powered neurotechnologies The ICO urged businesses to adopt a precautionary approach to avoid misuse and ensure compliance with UK privacy laws
- Generative AI and data protection | Cambridge Forum on AI: Law and . . .
All processing of personal data within the scope of the GDPR requires a legal basis, article 6 (1) GDPR The question of the legal basis for data processing across the life cycle of a generative AI system poses different problems, as it depends on the stage of the data processing
- Neural Data Privacy Regulation: What Laws Exist and What Is Anticipated . . .
Introduction Legislators at both the federal and state levels are taking steps to regulate the collection, use, and disclosure of neural data In 2024, Colorado and California enacted the first U S state privacy laws governing neural data, and at least six other states are following suit in an attempt to increase privacy protections applicable to the use of neurotechnology Neurotechnology
- GitHub - lvtierne SNHU_CS370
The application of neural networks introduces legal concerns under GDPR, particularly regarding transparency and accountability The 'black box' nature of our algorithms may conflict with GDPR's insistence on providing meaningful information about automated decision-making (Ved, 2019)
- The i mpact of the General Data Protection Regulation (GDPR) on . . .
between the General Data Protection Regulation (GDPR) and artificial intelligence (AI) After introducing some basic concepts of AI, it reviews the st te of the art in AI technologies and focuses on the application of AI to personal data It considers challenges and opportunities for individuals and society, and the wa
- Neural Networks and the General Data Protection Regulation
The following sections explain the basics of neural networks, address the potential ethical concerns that may arise from personalization, evaluate the company’s practices, and propose recommendations for the company to adhere to GDPR principles
- AI GDPR: Key Challenges, Fines and Practical Solutions
The GDPR is based on fundamental principles that apply to AI systems processing personal data Their implementation in this context presents specific challenges linked to the nature of machine learning technologies
- Regulating neural data processing in the age of BCIs: Ethical concerns . . .
Further to those ethical concerns expressed about relevant mental privacy risks, the regulation of neural data processing through corresponding legal approaches addressing those concerns in response is distinct and indispensable
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