2 What Are Deepfakes? Deepfakes are media primarily videos or audio that have been manipulated or generated using deep learning techniques, particularly Generative Adversarial Networks (GANs) or transformer-based models. These allow creators to swap faces in videos, clone voices, or generate entirely fictitious people or events. 3 How Generative AI Enables Deepfakes Generative AI models…

2 AI in Visual Art AI tools can now create, curate, and even sell artwork: Generative Art: 1 Algorithms like GANs (Generative Adversarial Networks) produce original visual works. Tools like DALL·E, Midjourney, and Artbreeder create images based on text prompts or existing styles. Style Transfer: 2 AI can apply the style of Van Gogh or…

2 What Is an Autonomous Vehicle? An autonomous vehicle uses AI, sensors, and software to drive itself without human input. The Society of Automotive Engineers (SAE) defines six levels of autonomy: 1 Level 0: No automation 2 Level 1–2: Driver assistance (e.g., adaptive cruise control) 3 Level 3: Conditional automation (car drives in specific conditions…

2 Personalized Financial Services AI enables hyper-personalization in banking and investing: 1 Robo-Advisors: Platforms like Betterment and Wealthfront use AI to manage investments, assess risk tolerance, and provide automated portfolio recommendations. 2 Personal Finance Assistants: Tools like Cleo and YNAB analyze user behavior and spending patterns to offer budgeting advice, reminders, and financial coaching. 3…

2 Personalized Learning AI tailors education to the needs of each student: Adaptive Learning Platforms: 1 Tools like Khan Academy, DreamBox, and Century Tech adjust content difficulty in real time based on student performance. Customized Feedback: 2 AI provides instant feedback on assignments and quizzes, helping students learn from mistakes and track progress. Learning Pace…

2 AI in Medical Diagnosis AI systems can analyze vast amounts of medical data faster and often more accurately than humans: Imaging and Radiology: 1 AI models detect abnormalities in X-rays, MRIs, and CT scans, including cancers, fractures, and neurological disorders. 2 Tools like Google’s DeepMind and IBM Watson Health have shown high accuracy in…

2 AI in Smartphones Smartphones are one of the most common gateways to AI-powered experiences: 1 Voice Assistants: Siri, Google Assistant, and Alexa use natural language processing to understand and respond to commands, set reminders, make calls, or search the web. 2 Predictive Text & Autocorrect: AI models learn your typing habits and language patterns…

2 How AI Relies on Personal Data AI systems are data-hungry by design. To function effectively, they require access to: 1 Behavioral Data: Clicks, likes, location, browsing history. 2 Biometric Data: Facial features, fingerprints, voice recognition. 3 Health Data: From fitness trackers, medical devices, or apps. 4 Communication Data: Emails, messages, voice commands. The more…

2 Core Ethical Concerns in AI 1 Bias and Discrimination: AI can inherit and amplify biases in training data, leading to unfair outcomes in hiring, policing, lending, and more. 2 Lack of Transparency: Many AI systems are “black boxes,” making it difficult to understand how decisions are made. 3 Accountability Gaps: Who is to blame…

2 Job Automation and Displacement AI and automation technologies are replacing routine and repetitive tasks: Sectors Most Affected: 1 Manufacturing: Robotics automates assembly lines and quality control. 2 Transportation: Self-driving vehicles threaten roles in trucking and delivery. 3 Retail and Customer Service: AI chatbots and self-checkout systems reduce human staffing needs. 4 Administrative Roles: Automated…