In digital finance, artificial intelligence is dual-use: institutions can apply it to detect and prevent fraud, while criminals can use it to generate convincing phishing emails, synthetic identities, and complex schemes at scale. Fraud defense must account for adversaries whose capabilities also change with AI. section 7.0
Artificial intelligence
Artificial intelligence is the capability of computational systems to perform tasks that typically require human intelligence.
How Financial AI in Practice covers it
- How deep it goes
- Positions AI as a fraud-defense opportunity and threat, but stops before detailing models or implementation.
- Examples
- Names AI-generated phishing emails, synthetic identities, and complex fraud schemes as adversarial uses.
- What you can do after
- Understand how AI can help protect financial systems and how adversaries can exploit it.
- How it connects
- Connects AI with financial fraud, fraud detection, phishing, and synthetic identity generation.
Also explained in
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Inside AIArtificial intelligence is the field of computational methods that perform tasks associated with human intelligence, such as learning, reasoning, perception, and decision-making.
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WordPress Power Toolkit: Harness AI to build next-level websitesArtificial intelligence is the field of building computational systems that perform tasks associated with human intelligence, such as reasoning, language understanding, and content generation.
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AI for Everyday ITArtificial intelligence is the field of creating computational systems that perform tasks associated with human intelligence, such as perception, reasoning, language processing, and decision-making.
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Effective Data AnalysisArtificial intelligence is the field of creating computational systems that perform tasks associated with human intelligence, such as reasoning, perception, language use, and generation.
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Data-Driven CybersecurityArtificial intelligence is the field of computing concerned with building systems that perform tasks commonly associated with human intelligence, such as inference and generation.
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"Looks Good to Me"The field of computing concerned with systems that perform tasks requiring capabilities associated with human intelligence.
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Deep Learning with R, Third EditionArtificial intelligence is the field of building systems that perform tasks associated with human intelligence, such as reasoning, perception, language use, and decision-making.
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The Complete Obsolete Guide to Generative AIThe field concerned with computational systems that perform tasks associated with human intelligence, such as generating language or making inferences.
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Acing the CCNA Exam: Volume 2 Advanced Networking and SecurityArtificial intelligence is the field of computational methods that perform tasks requiring capabilities associated with human intelligence, such as learning, prediction, and reasoning.
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First-Party Data ActivationArtificial intelligence is the field of computing concerned with systems that perform tasks requiring capabilities associated with human intelligence.
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Lead Developer Career GuideThe field of computing concerned with systems that perform tasks requiring capabilities such as language understanding, generation, or reasoning.
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Deep Learning with Python, Third EditionComputer systems that perform tasks associated with human intelligence, used here in a broad modern sense that the text argues is often closer to automation.
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Troubleshooting Java, Second EditionArtificial intelligence is the field of computing concerned with systems that perform tasks requiring capabilities associated with human intelligence.
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AI-Powered SearchArtificial intelligence is the capability of a computer program to perform tasks that previously required human intelligence.
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Grokking StatisticsThe field concerned with building systems that perform tasks associated with human intelligence, such as reasoning, perception, and learning.
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Data Without LabelsThe field of computing concerned with creating systems that perform tasks associated with human intelligence, such as reasoning, perception, language use, and learning.
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The Art of AI Product DevelopmentArtificial intelligence is the field of computational methods that perform tasks associated with human intelligence, such as reasoning, prediction, and language understanding.
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Data Storytelling with Altair and AIArtificial intelligence is the field of computing concerned with systems that perform tasks requiring capabilities associated with human intelligence.
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Investing for ProgrammersAI is the field of creating computational systems capable of tasks associated with human intelligence, such as learning and reasoning.
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Grokking Machine LearningArtificial intelligence is the field concerned with computer systems making decisions or solving problems autonomously.
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Grokking AI Algorithms, Second EditionThe field concerned with creating computational systems that perform tasks associated with human intelligence, such as reasoning, learning, and autonomous decision-making.
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Authorization in ActionArtificial intelligence is the field of computing concerned with systems that perform tasks requiring capabilities associated with human intelligence, such as pattern analysis and language processing.
Compare how 23 books explain artificial intelligence →
Related concepts
- machine learningincludes · Machine learning is a field of computational methods in which systems learn patterns or relationships from data to make predictions, decisions, or other outputs.
- code reviewuses · Code review is the systematic examination of source code or proposed changes to identify problems and assess or improve quality.
- large language modelincludes · A large language model is a machine-learning model, typically neural, trained on extensive text data to process and generate language.
- dependencykind of · A software dependency is a component, resource, or prerequisite on which another software component or operation relies to function or proceed.
- generative modelingincludes · Generative modeling is a machine-learning approach that learns patterns or a data distribution to generate new samples resembling the data.
- language modelincludes · A language model is a computational model that represents patterns in linguistic tokens to estimate sequence probabilities and predict or generate language from context.
This explainer was generated by Manning's knowledge graph from the text of Financial AI in Practice. The section links point to the parts of the book it draws on.