ARTIFICIAL INTELLIGENCE

AI can be weaponised—used to create deepfakes, conduct cyberattacks, generate disinformation, or automate surveillance and weapon systems. Strong AI security helps prevent these systems from being hijacked or used with malicious intent.

AI models often rely on large datasets, some of which may include personal or confidential information. Security measures are needed to prevent data leakage, unauthorized access, or model inversion attacks (which can extract training data from a model).

AI systems can be vulnerable to adversarial attacks—subtle manipulations in input data that cause models to behave incorrectly. For example, changing just a few pixels in an image can fool an AI into misclassifying it. Securing models against such attacks is crucial in high-stakes applications like healthcare or autonomous vehicles..

In critical areas such as finance, healthcare, or law enforcement, decisions made or assisted by AI need to be secure, robust, and explainable. Without strong security, AI failures or vulnerabilities could lead to a loss of trust and serious societal consequences.

Advanced AI could influence or control systems with broad societal impact, such as stock markets, electrical grids, or communication networks. Poorly secured or misaligned AI could cause cascading failures or unintended harm.

As AI capabilities progress toward artificial general intelligence (AGI), the importance of aligning AI systems with human values and ensuring they cannot be misused or go out of control becomes a matter of global survival.