The Spectrum of Artificial Intelligence PDF

THE SPECTRUM OF ARTIFICIAL INTELLIGENCE...

THE SPECTRUM OF ARTIFICIAL INTELLIGENCE Produced by Artificial Intelligence (AI) is the computerized ability to perform tasks commonly associated with human intelligence, including reasoning, discovering patterns and meaning, FPF.ORG generalizing, applying knowledge across spheres of application, and learning from experience. The growth of AI-based systems in recent years has garnered much attention, particularly in the sphere of Machine Learning. A subset of AI, Machine Learning (ML) systems “learn” from the success or accuracy of their outputs, and can change their processing over time, with minimal human intervention. But there are non-ML types of AI that, alone or in combination, lie behind the real-world applications in common use. General AI — a human-level ML MACHINE LEARNING Algorithms improve through experience computational system — does not yet exist. But Narrow AI exists in many fields and applications where computerized systems greatly enhance human output or outperform humans at defined tasks. This chart explains the main types of AI, their relationships to each other, and provides specific examples of how they are currently appear in our day-to-day lives. It also demonstrates how AI exists within the timeline of human knowledge and development. GAN GENERATIVE ADVERSARIAL NETWORKS SA SYMBOLIC AI Two NNs learn by fighting AI USE CASES AND CONTEXTS Human-readable logic problems DL DEEP LEARNING Multiple layers of FINANCE neural networks TAX COMPLIANCE A software platform that distills tax laws into a ES EXPERT SYSTEMS Complex solutions program, creates a personalized decision system, RL REINFORCEMENT LEARNING through reasoning and enables individuals to quickly and accurately Learning to complete a task file their taxes. Value of AI: Tax compliance requires complete accuracy. This efficient, interactive system that provides precise and logically connected results S SEARCH Steps from initial allows taxpayers to understand, confirm, and have GN state to goal confidence in the outcome. KE provides transparent SI DE and clear explanations. ROBOTICS NN NEURAL NETWORKS ER R US ENCE ERI Multi-sensing and/or Learning by making Types of AI: PLANNING & SCHEDULING EXP connections P&S mobile AI ER Multi-dimensional strategies KE NN NLP US ACE and action sequences ERF INT HEALTHCARE RB RULES BASED Deductions based on AMBIENT CHARTING curated rules KE KNOWLEDGE ENGINEERING PH Rules based on human expertise ILO FO The use of background voice-to-text processing SO PH UN during a patient/medical provider exchange to Y DA record those interactions into the patient’s chart, TIO along with extracting tasks, symptoms, and NA recommendations for further action as required. MA LT Value of AI: Medical providers spend significant TH ECH time documenting, with uneven outputs, as well as EM AT NO CS COMPUTER SENSING ETH LO Human sense-based inputs IC ICS S GY difficulty in correlating between providers. Ambient NLP NATURAL LANGUAGE PROCESSING ATA systems encode conversations, target key phrases, ESS STA ITY Understand, interpret, manipulate language and present a summary for provider edit/acceptance. D U SIN ICS TIS R ECU PH B LYT LO YS ICS AN A AN ALY TIC S TIO N G S Types of AI: IC SIS YP CR SA DL NLP EN MO TRACKING MOBILITY AND TRANSPORTATION SOCIAL MEDIA FORECASTING DE LIN WORKPLACE MONITORING TURN-BY-TURN NAVIGATION SPEECH OR CONTENT MODERATION SUPPLY CHAIN MANAGEMENT G Embedded systems can monitor physical and digital Location-based software that provides detailed Systems can facilitate human teams in identifying, Systems to improve traditional inventory and traffic, data usage, device management, and some instructions for travelers to reach a selected flagging, and deleting posts with defined, prohibited forecasting beyond historical/internal trend data, employee behaviors for efficiency and security designation, customizable mode of transportation, terms (such as “hate speech” or profanity). to weight and include external factors such as E management of time, assets, and resources. multiple stops, services en route, and real-time Categorizing and selectively reacting based on weather, consumer sentiment, demographic trends, W AR RD HA Value of AI: Monitoring enables necessary adjustments based on traffic, tolls, and weather. platform policies, usually embedded in analysis of portal traffic, stock fluctuations, and enforcement of data security policies and protocols. Value of AI: This is a “shortest path” problem human/computer systems for review and decision. service levels Also, systems can monitor and manage time solver, able to consider and weight variables such Value of AI: More efficient at scale than human-alone Value of AI: Systems can increase accuracy and reporting and project management tools, as well as as speed, cost, and personal preferences, and reviews. Additionally, well-designed systems can efficiency, as well as provide improved transparency ensuring appropriate supervision, training, and allow personalization based on repeated journeys, potentially adapt to variations in context, intent, and reliable, predictive analytics; enable aggregate support, including for remote workers as well as link to calendar and scheduling data, cultural norms, and user expectations more forecasting from individual impact up through and interactive prompts. consistently across platforms. regional levels. Types of AI: Types of AI: Types of AI: Types of AI: RB CS NN S SA DL GAN KE NLP RL P&S ES KE ML