LEADER 01415oam 2200373 a 450 001 9910697454003321 005 20080828143548.0 035 $a(CKB)5470000002388402 035 $a(OCoLC)61747528 035 $a(EXLCZ)995470000002388402 100 $a20050930d2005 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAssessment of shallow ground-water quality in recently urbanized areas of Sacramento, California, 1998$b[electronic resource] /$fby Jennifer L. Shelton 210 1$aReston, Va. :$cU.S. Dept. of the Interior, U.S. Geological Survey,$d2005. 225 1 $aScientific investigations report ;$v2005-5148 300 $aTitle from PDF title screen (viewed on Sept. 29, 2005). 320 $aIncludes bibliographical references. 606 $aGroundwater$xPollution$zCalifornia$zSacramento 606 $aUrbanization$xEnvironmental aspects$zCalifornia$zSacramento 615 0$aGroundwater$xPollution 615 0$aUrbanization$xEnvironmental aspects 700 $aShelton$b Jennifer L$01399018 712 02$aGeological Survey (U.S.) 801 0$bGIS 801 1$bGIS 801 2$bGPO 906 $aBOOK 912 $a9910697454003321 996 $aAssessment of shallow ground-water quality in recently urbanized areas of Sacramento, California, 1998$93529805 997 $aUNINA LEADER 03782nam 22005055 450 001 9911018664703321 005 20250806181600.0 010 $a3-031-98949-X 024 7 $a10.1007/978-3-031-98949-0 035 $a(MiAaPQ)EBC32256176 035 $a(Au-PeEL)EBL32256176 035 $a(CKB)40138057900041 035 $a(DE-He213)978-3-031-98949-0 035 $a(EXLCZ)9940138057900041 100 $a20250806d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSocial Impact of AI: Research, Diversity and Inclusion Frameworks $eInternational Workshop, SIAI 2025, Philadelphia, PA, USA, March 1, 2025, Proceedings /$fedited by Yetunde Folajimi, Leonidas Deligiannidis, Salem Othman, Shawren Singh 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (202 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v2599 311 08$a3-031-98948-1 327 $a -- AI for Social Good and Public Impact in Marginalized Communities: A Cross-Cultural Framework. -- Balancing Power and Ethics: A Framework for Addressing Human Rights Concerns in Military AI. -- Amharic Language Audio Data Search Engine. -- Scaling Inclusive AI Education through Feedback Analytics in Underserved Contexts: Empowering Learners for the Generative AI Era. -- Towards Culturally Inclusive Knowledge Dissemination Using AI Agents. -- Evaluating the Feasibility of Universal Basic Income (UBI) in Bangladesh Using Multivariate Forecasting with XGBoost. -- Enhancing Crop Yield Forecasting in Bangladesh Using Deep Learning Approach and Time-Series Analysis. -- Group Privacy in AI Systems. -- Shaping the Future of Learning: AI-Driven Adaptive Feedback for Programming Education in Resource-Constrained Setting. -- Understanding vs. Generation: LLMs Are Better at Comprehending Low-Resource Languages Like Urdu Than Generating Text in Them. -- Structured Reasoning for Fairness: A Multi-Agent Approach to Bias Detection in Textual Data. -- Regional Determinants of Domestic Violence in India: Machine Learning Approach. 330 $aThe workshop proceedings SIAI 2025 constitutes the refereed proceedings of the fourth International Workshop on Social Impact of AI, SIAI 2025, which was held in Philadelphia, PA, USA, in March 2025. The 8 full papers, 4 short papers, and one poster presented in these proceedings were carefully reviewed and selected from 26 submissions. SIAI-ReDI 2025 centered on the development and assessment of inclusive AI frameworks that prioritize ethical design, equitable deployment, and cultural context. The workshop?s call for papers invited submissions across a range of urgent topics, including: Algorithmic fairness and transparency Inclusive AI education and workforce strategies AI in marginalized and underrepresented communities Intersectionality, gender, and accessibility in AI Cross-cultural AI governance and regulation Public trust, participatory AI, and responsible design. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v2599 606 $aMachine learning 606 $aMachine Learning 615 0$aMachine learning. 615 14$aMachine Learning. 676 $a006.31 700 $aFolajimi$b Yetunde$01836764 701 $aDeligiannidis$b Leonidas$0981931 701 $aOthman$b Salem$01836765 701 $aSingh$b Shawren$01836766 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911018664703321 996 $aSocial Impact of AI: Research, Diversity and Inclusion Frameworks$94430918 997 $aUNINA