Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

ACM Computing Surveys (ACM CSUR), 2019

10 May 2019

Papers citing "Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges"

38 / 38 papers shown

Title
Justified Evidence Collection for Argument-based AI Fairness AssuranceConference on Fairness, Accountability and Transparency (FAccT), 2025 Alpay Sabuncuoglu Christopher Burr Carsten Maple 226 0 0 12 May 2025
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction Jay Lee Hanqi Su Dai-Yan Ji Takanobu Minami AI4CE 393 4 0 03 Apr 2025
Atlas: A Framework for ML Lifecycle Provenance & Transparency Marcin Spoczynski Marcela S. Melara Siyang Song 467 4 0 26 Feb 2025
Talking About the Assumption in the RoomInternational Conference on Human Factors in Computing Systems (CHI), 2025 Ramaravind Kommiya Mothilal Faisal M. Lalani Syed Ishtiaque Ahmed Shion Guha Sharifa Sultana 233 2 0 20 Feb 2025
Landscape of AI safety concerns - A methodology to support safety assurance for AI-based autonomous systemsInternational Conference on System Reliability and Safety (ICSRS), 2024 Ronald Schnitzer Lennart Kilian Simon Roessner Konstantinos Theodorou Sonja Zillner 224 2 0 18 Dec 2024
Artificial Intelligence in Industry 4.0: A Review of Integration Challenges for Industrial Systems Alexander Windmann Philipp Wittenberg Marvin Schieseck Oliver Niggemann AI4CE 186 17 0 28 May 2024
Towards a Non-Ideal Methodological Framework for Responsible MLInternational Conference on Human Factors in Computing Systems (CHI), 2024 Ramaravind Kommiya Mothilal Shion Guha Syed Ishtiaque Ahmed 228 12 0 20 Jan 2024
Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education Mei Tan Hansol Lee Dakuo Wang Hariharan Subramonyam 163 11 0 09 Nov 2023
Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy RisksInternational Conference on Human Factors in Computing Systems (CHI), 2023 Hao-Ping Lee Yu-Ju Yang Thomas Serban Von Davier Jodi Forlizzi Sauvik Das 170 92 0 11 Oct 2023
Towards Establishing Systematic Classification Requirements for Automated Driving Kent Mori Trent Brown Steven C. Peters 188 0 0 26 Jul 2023
Model Reporting for Certifiable AI: A Proposal from Merging EU Regulation into AI Development Danilo Brajovic Niclas Renner Vincent Philipp Goebels Philipp Wagner Benjamin Frész M. Biller Mara Klaeb Janika Kutz Jens Neuhuettler Marco F. Huber 157 16 0 21 Jul 2023
Machine Learning practices and infrastructuresAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 G. Berman 210 5 0 13 Jul 2023
Optimization's Neglected Normative CommitmentsConference on Fairness, Accountability and Transparency (FAccT), 2023 Benjamin Laufer T. Gilbert Helen Nissenbaum OffRL 157 8 0 27 May 2023
Optimizing the AI Development Process by Providing the Best Support Environment Taha Khamis Hamam Mokayed 196 1 0 29 Apr 2023
Machine Learning with Requirements: a Manifesto Eleonora Giunchiglia F. Imrie M. Schaar Thomas Lukasiewicz AI4TS OffRL VLM 208 9 0 07 Apr 2023
A Meta-Summary of Challenges in Building Products with ML Components -- Collecting Experiences from 4758+ Practitioners Nadia Nahar Haoran Zhang Grace A. Lewis Shurui Zhou Jane Hsieh 301 53 0 31 Mar 2023
MLTEing Models: Negotiating, Evaluating, and Documenting Model and System Qualities Katherine R. Maffey Kyle Dotterrer Jennifer Niemann Iain J. Cruickshank Grace A. Lewis Jane Hsieh 144 9 0 03 Mar 2023
Iterative Assessment and Improvement of DNN Operational Accuracy Antonio Guerriero R. Pietrantuono S. Russo AI4CE 92 5 0 02 Mar 2023
Fiduciary Responsibility: Facilitating Public Trust in Automated Decision MakingJournal of Social Computing (JSC), 2022 Shannon B. Harper Eric S. Weber 242 1 0 06 Jan 2023
When Bioprocess Engineering Meets Machine Learning: A Survey from the Perspective of Automated Bioprocess DevelopmentBiochemical engineering journal (Biochem. Eng. J.), 2022 Nghia Duong-Trung Stefan Born Jong Woo Kim M. Schermeyer Katharina Paulick ... Thorben Werner Randolf Scholz Lars Schmidt-Thieme Peter Neubauer Ernesto Martinez 199 26 0 02 Sep 2022
A Validity Perspective on Evaluating the Justified Use of Data-driven Decision-making Algorithms Amanda Coston Anna Kawakami Haiyi Zhu Kenneth Holstein Hoda Heidari 129 46 0 30 Jun 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake SystemSoftware quality journal (SQJ), 2022 Markus Borg Jens Henriksson Kasper Socha Olof Lennartsson Elias Sonnsjo Lonegren T. Bui Piotr Tomaszewski S. Sathyamoorthy Sebastian Brink M. H. Moghadam 225 30 0 16 Apr 2022
Data Justice in Practice: A Guide for DevelopersSocial Science Research Network (SSRN), 2022 David Leslie Michael Katell Mhairi Aitken Jatinder Singh Morgan Briggs Rosamund Powell Cami Rincón A. Perini Smera Jayadeva Christopher Burr SyDa 112 2 0 12 Apr 2022
Integrating Testing and Operation-related Quantitative Evidences in Assurance Cases to Argue Safety of Data-Driven AI/ML Components Michael Kläs Lisa Jöckel R. Adler Jan Reich 95 5 0 10 Feb 2022
Discrete-Event Controller Synthesis for Autonomous Systems with Deep-Learning Perception Components R. Calinescu Calum Imrie Ravi Mangal Genaína Nunes Rodrigues C. Păsăreanu Misael Alpizar Santana Gricel Vázquez 230 14 0 07 Feb 2022
A causal model of safety assurance for machine learning Simon Burton CML 201 6 0 14 Jan 2022
Reliability Assessment and Safety Arguments for Machine Learning Components in System Assurance Yizhen Dong Wei Huang Vibhav Bharti V. Cox Alec Banks Sen Wang Xingyu Zhao S. Schewe Xiaowei Huang 193 24 0 30 Nov 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 367 494 0 04 Oct 2021
The Role of Explainability in Assuring Safety of Machine Learning in HealthcareIEEE Transactions on Emerging Topics in Computing (TETC), 2021 Yan Jia John McDermid T. Lawton Ibrahim Habli 217 62 0 01 Sep 2021
The missing link: Developing a safety case for perception components in automated drivingSAE technical paper series (SAE), 2021 Rick Salay Krzysztof Czarnecki Hiroshi Kuwajima Hirotoshi Yasuoka Toshihiro Nakae Vahdat Abdelzad Chengjie Huang Maximilian Kahn Van Duong Nguyen 323 14 0 30 Aug 2021
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 121 12 0 14 Jun 2021
Towards Risk Modeling for Collaborative AIWorkshop on AI Engineering - Software Engineering for AI (ESEA), 2021 Matteo Camilli Michael Felderer Andrea Giusti D. Matt A. Perini B. Russo A. Susi 111 7 0 12 Mar 2021
DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image ClassifiersInternational Conference on Computer Safety, Reliability, and Security (SAFECOMP), 2021 Colin Paterson Haoze Wu John M. Grese R. Calinescu C. Păsăreanu Clark W. Barrett AAML 164 25 0 02 Mar 2021
Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS) Richard Hawkins Colin Paterson Chiara Picardi Yan Jia R. Calinescu Ibrahim Habli 148 100 0 02 Feb 2021
With False Friends Like These, Who Can Notice Mistakes?AAAI Conference on Artificial Intelligence (AAAI), 2020 Lue Tao Lei Feng Jinfeng Yi Songcan Chen AAML 261 6 0 29 Dec 2020
Challenges in Deploying Machine Learning: a Survey of Case StudiesACM Computing Surveys (ACM CSUR), 2020 Andrei Paleyes Raoul-Gabriel Urma Neil D. Lawrence 240 483 0 18 Nov 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 244 2 0 02 Jul 2020
A Safety Framework for Critical Systems Utilising Deep Neural NetworksInternational Conference on Computer Safety, Reliability, and Security (SAFECOMP), 2020 Xingyu Zhao Alec Banks James Sharp Valentin Robu David Flynn Michael Fisher Xiaowei Huang AAML 183 51 0 07 Mar 2020