Huawei: AI and Data Protection Challenges and Responses with Data Regulators

Technical reliability: Smaller challenges within this broader area include deep neural networks (DNNs) lack of robustness resulting in susceptibility to invasion attacks. Lack of transparency and explainability of these complex systems may infringe legal or regulatory requirements such as GDPR in terms of automated decision-making. Also, data breaches, tampering, theft, and misuse of vast amounts of data may result from the unavailability of comprehensive data security protection. A case of this is in the field of autonomous driving when evasion attacks can lead to traffic offenses and even trigger accidents. In healthcare, attackers can also introduce significant errors in the dosage recommended by AI models by only adding a small amount of malicious data but resulting in huge serious consequences.