AI (Artificial Intelligence): Technology that enables machines to mimic human intelligence, learning from data to recognize patterns, make decisions, and solve problems.

Algorithmic Bias: The potential for AI systems to reflect and perpetuate biases present in the training data, leading to unfair or discriminatory outcomes towards seniors.

Cognitive Accessibility: The design of technology that considers the diverse cognitive abilities of users, ensuring ease of use for all, including seniors.

Cybersecurity: The practice of protecting systems, networks, and data from digital attacks, essential for securing AI applications.

Deepfake Technology: AI that creates hyper-realistic fake audio or video content, often used in scams to impersonate real individuals.

Digital Footprint: The trail of data created when a user interacts with the internet, including browsing history and online behavior.

Personalized Assistance: Tailored support provided by AI tools that adapt to individual users’ needs, enhancing their daily activities.

Phishing Scams: Attempts to obtain sensitive information through deceptive emails or messages that appear to be from trusted sources.

Telehealth: Remote healthcare services that use AI tools to connect patients with health providers for consultations and monitoring.