Data Safety and Security for Responsible AI
Explore key concepts of data privacy, safety, and security as they pertain to responsible AI development. Understand various security threats to AI, relevant regulations, and how to apply a risk-based approach to protect sensitive data while balancing transparency and accountability.
The safety and security of data is a fundamental necessity in today’s digital age. It arises from the need to safeguard sensitive information from unauthorized access, ensuring data confidentiality, integrity, and availability.
AI’s disruptive impact across various industries underscores the increasing significance of data security within AI systems. With the increasing volume of personal, financial, and business data stored and exchanged online, the need for data security has never been more critical. Data breaches can have devastating consequences, including identity theft, financial losses, and reputational damage. Moreover, stringent data protection regulations, such as GDPR and HIPAA, make it imperative for organizations to implement robust data security measures to avoid legal liabilities.
Data security threats in AI
Understanding different types of security threats in AI is crucial ...