AI, Ethical Issues and Explainability—Applied Biometrics / / by KC Santosh, Casey Wall

• Autore: Santosh K. C.
• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (71 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Biometric identification; Computational Intelligence; Artificial Intelligence; Biometrics
• Persona (resp. second.): WallCasey
• Nota di contenuto: Chapter 1. AI and ethical issues -- Chapter 2. Explainable AI -- Chapter 3. Trustworthy and explainable AI for biometrics -- Chapter 4. Illicit economy, threats, and biometrics -- Chapter 5. AI, ethical issues, and explainability for biometrics – summary and what else?.
• Sommario/riassunto: AI has contributed a lot and biometrics is no exception. To make AI solutions commercialized/fully functional, one requires trustworthy and explainable AI (XAI) solutions while respecting ethical issues. Within the scope of biometrics, the book aims at both revisiting ethical AI principles by taking into account state-of-the-art AI-guided tools and their responsibilities i.e., responsible AI. With this, the long-term goal is to connect with how we can enhance research communities that effectively integrate computational expertise (with both explainability and ethical issues). It helps combat complex and elusive global security challenges that address our national concern in understanding and disrupting the illicit economy.`.
• Titolo autorizzato: AI, Ethical Issues and Explainability—Applied Biometrics
• ISBN: 981-19-3935-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910590045103321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Computational Intelligence, . 2625-3712