03507nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001800172072001600190072002300206072001500229100009400244245010100338250001800439264006900457300006400526336002600590337002600616338003600642347002400678490005300702505056300755520107501318650002302393650003602416650002702452650005102479650004202530650003602572650002702608650003502635710003402670773002602704776003602730776003602766776003602802830006002838856004602898912001402944912001402958999001702972978-3-031-45214-7DE-He21320251030110839.0cr nn 008mamaa231125s2024    sz |    s    |||| 0|eng d  a97830314521479978-3-031-45214-77 a10.1007/978-3-031-45214-72doi 4aTK5101-5105.9 7aTJK2bicssc 7aTEC0410002bisacsh 7aTJK2thema1 aAlloghani, Mohamed Ahmed.eauthor.4aut4http://id.loc.gov/vocabulary/relators/aut96752910aArtificial Intelligence and Sustainabilityh[electronic resource] /cby Mohamed Ahmed Alloghani.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXX, 212 p. 25 illus., 12 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aSignals and Communication Technology,x1860-48700 aIntroduction -- Introduction to AI and Sustainability -- Challenges surrounding AI software development -- Strategies for building efficient AI systems -- Ethical considerations in AI development -- AI and Energy -- AI and Climate Change -- AI and Natural Resource Management -- AI and Sustainable Agriculture -- AI and Sustainable Transport -- AI and Sustainable Cities -- AI and Sustainable Business -- Methods for ensuring data privacy and security in AI software -- Case studies -- Future directions for sustainable AI software development -- Conclusion.  aThis book gives readers the tools to craft AI systems that don't just thrive today, but endure sustainably into the future. Whether a trailblazer or an aspiring innovator, this book enables readers to resonate with the ambitions of software developers, data scientists, and AI practitioners. The author covers the latest techniques and best practices for energy efficiency, reducing carbon footprints, and ensuring fair and ethical AI. The book also addresses important issues such as AI governance, managing risks, and ensuring transparency. Topics covered include understanding the relationship between AI and sustainable development, strategies for building efficient AI systems, and ethical considerations in AI development, among others. The author includes case studies of companies and organizations that have successfully implemented sustainable AI software development practices. Therefore, this book will be of interest to AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences. 0aTelecommunication. 0aArtificial intelligence.958441 0aSustainability.957661 0aCooperating objects (Computer systems).96430314aCommunications Engineering, Networks.24aArtificial Intelligence.95844124aSustainability.95766124aCyber-Physical Systems.9656382 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303145213008iPrinted edition:z978303145215408iPrinted edition:z9783031452161 0aSignals and Communication Technology,x1860-487091893640uhttps://doi.org/10.1007/978-3-031-45214-7  aZDB-2-ENG  aZDB-2-SXE  c56629d56629