Relevant bibliographies by topics / SafeML

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'SafeML'

Author: Grafiati
Published: 24 September 2021
Last updated: 18 July 2025

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Journal articles on the topic "SafeML"

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NAKABO, Yoshihiro. "SafeML Extensions for Human-Machine Cooperation." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2022 (2022): 1P1—Q10. http://dx.doi.org/10.1299/jsmermd.2022.1p1-q10.

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MIYOSHI, Takao, Yoshihiro NAKABO, Hidetoshi FUKUI, et al. "SafeML extension based on robot risk assessment cases." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2022 (2022): 1P1—Q12. http://dx.doi.org/10.1299/jsmermd.2022.1p1-q12.

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MIYOSHI, Takao, Yoshihiro NAKABO, Kazutsugu SUITA, et al. "Application of SafeML to risk assessment based on ISO31101." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2024 (2024): 2P1—G07. https://doi.org/10.1299/jsmermd.2024.2p1-g07.

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BIGGS, Geoffrey, and Yoshihiro NAKABO. "Using SafeML to Model the Safety Information of Robot Systems." Journal of the Society of Mechanical Engineers 119, no. 1177 (2016): 670–74. http://dx.doi.org/10.1299/jsmemag.119.1177_670.

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MIYOSHI, Takao, Geoffrey BIGGS, and Tetsuya KIMURA. "SysML + SafeML Analysis of Collaborative Service Robot Engaged in Light Work." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2018 (2018): 2A2—B13. http://dx.doi.org/10.1299/jsmermd.2018.2a2-b13.

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MIYOSHI, Takao, Yoshihiro NAKABO, Hidetoshi FUKUI та ін. "ロボットのリスクアセスメント記述モデルによるSafeMLの評価". Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2023 (2023): 2P1—D06. http://dx.doi.org/10.1299/jsmermd.2023.2p1-d06.

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Mohammad Aljanabi. "Safeguarding Connected Health: Leveraging Trustworthy AI Techniques to Harden Intrusion Detection Systems Against Data Poisoning Threats in IoMT Environments." Babylonian Journal of Internet of Things 2023 (May 17, 2023): 31–37. http://dx.doi.org/10.58496/bjiot/2023/005.

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Internet of Medical Things (IoMT) environments introduce vast security exposures including vulnerabilities to data poisoning threats that undermine integrity of automated patient health analytics like diagnosis models. This research explores applying trustworthy artificial intelligence (AI) methodologies including explainability, bias mitigation, and adversarial sample detection to substantially enhance resilience of medical intrusion detection systems. We architect an integrated anomaly detector featuring purpose-built modules for model interpretability, bias quantification, and advanced mali
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BIGGS, Geoffrey, Takeshi SAKAMOTO, and Tetsuo KOTOKU. "2A2-I06 SafeML:A model-based tool for communicating safety information(Robotics with Safety and Reliability)." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2013 (2013): _2A2—I06_1—_2A2—I06_4. http://dx.doi.org/10.1299/jsmermd.2013._2a2-i06_1.

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Carvallo, Eugenia, and Mariano del Sol. "Relaciones Anatómicas de la Vena Safena Magna con el Nervio Safeno a Nivel Talocrural." International Journal of Morphology 29, no. 3 (2011): 978–81. http://dx.doi.org/10.4067/s0717-95022011000300053.

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Gurgel, Gutenberg do Amaral, Aldemar Araújo Castro, Marcelo Araújo, Jorge Eduardo Amorim, Guilherme Benjamin Brandão Pitta, and Fausto Miranda Júnior. "Avaliação da ocorrência do refluxo venoso da safena magna pela ultrassonografia com doppler colorido após tratamento cirúrgico da insuficiência da junção safeno-femoral." Revista do Colégio Brasileiro de Cirurgiões 40, no. 5 (2013): 380–85. http://dx.doi.org/10.1590/s0100-69912013000500006.

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OBJETIVO: avaliar a ocorrência do refluxo da safena magna através da ultrassonografia com Doppler colorido em sujeitos submetidos ao tratamento da insuficiência da junção safeno-femoral por ligadura simples ou por ligadura com secção da crossa. MÉTODOS: foram realizadas 60 operações (45 sujeitos) de varizes com insuficiência da junção safeno-femoral (JSF), pertencentes à classificação clínica do CEAP 2 a 5, que foram distribuídos aleatoriamente em dois grupos. Um grupo denominado C, com ligadura e secção da crossa, e um grupo denominado L, com ligadura simples sem secção da crossa da veia safe
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Dissertations / Theses on the topic "SafeML"

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Aslansefat, K., Sohag Kabir, Amr R. A. Abdullatif, Vinod Vasudevan, and Y. Papadopoulos. "Toward Improving Confidence in Autonomous Vehicle Software: A Study on Traffic Sign Recognition Systems." IEEE, 2021. http://hdl.handle.net/10454/18591.

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Yes<br>This article proposes an approach named SafeML II, which applies empirical cumulative distribution function-based statistical distance measures in a designed human-in-the loop procedure to ensure the safety of machine learning-based classifiers in autonomous vehicle software. The application of artificial intelligence (AI) and data-driven decision-making systems in autonomous vehicles is growing rapidly. As autonomous vehicles operate in dynamic environments, the risk that they can face an unknown observation is relatively high due to insufficient training data, distributional shi
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Pohl, Reinhard, and Antje Bornschein. "How safe is safe? Experiences in Dam Safety Policy." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-160789.

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Dam safety is a perpetual issue everywhere, when communities are located downstream of dams. This paper reflects experiences of the related practice and considerations in Germany. The probability of dam failure will be considered from a theoretical as well as from an empirical point of view. Information necessary in drawing up special hazard and risk maps are described and evaluated. For small dams further considerations to simplify the analysis procedure will be presented.
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Pohl, Reinhard, and Antje Bornschein. "How safe is safe? Experiences in Dam Safety Policy." Technische Universität Dresden, 2011. https://tud.qucosa.de/id/qucosa%3A28542.

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Dam safety is a perpetual issue everywhere, when communities are located downstream of dams. This paper reflects experiences of the related practice and considerations in Germany. The probability of dam failure will be considered from a theoretical as well as from an empirical point of view. Information necessary in drawing up special hazard and risk maps are described and evaluated. For small dams further considerations to simplify the analysis procedure will be presented.
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Pohl, Reinhard. "How safe is safe?: Dam safety from the viewpoint of downstream communities." Technische Universität Dresden, 2011. https://tud.qucosa.de/id/qucosa%3A28530.

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Reservoirs and dams are often situated in the mountains upstream of cities and towns. This implies a theoretical but difficult to evaluate hazard potential for downstream communities. This paper reflects experiences of the related safety analysis practice including the steps from the breach estimation towards the drawing of special hazard maps.
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Ridelberg, Mikaela. "Towards safer care in Sweden? : Studies of influences on patient safety." Doctoral thesis, Linköpings universitet, Avdelningen för hälso- och sjukvårdsanalys, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-127307.

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Patient safety has progressed in 15 years from being a relatively insignificant issue to a position high on the agenda for health care providers, managers and policymakers as well as the general public. Sweden has seen increased national, regional and local patient safety efforts since 2011 when a new patient safety law was introduced and a four-year financial incentive plan was launched to encourage county councils to carry out specified measures and meet certain patient safety related criteria. However, little is known about what structures and processes contribute to improved patient safety
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Gaissmaier, Miriam. "Better Safe than Sorry : Boosting Workplace Safety with Interactive Textiles." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257492.

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Despite various safety regulations and procedures, work accidents remain a significant problem in the global process industry as well as the Swedish steel industry. In order to address personal safety and safety culture, wearable alert systems based on Internet of Things (IoT) technology were prototyped and tested with steel workers in iterative workshops following the Constructive Design Research approach. Results show that interactive textile patches worn on the protection gear are a simple way of transmitting personal alerts with light. Another crucial design factor is to enable the communi
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Kvam, Eva. "Effect of Safe Failures on the Reliability of Safety Instrumented Systems." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9809.

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<p>Safety instrumented systems (SISs) are of prime importance to the process industry to avoid catastrophic consequences or even loss of human life. The dangerous situations that any equipment may face should be analysed in order to quantify the associated risk and to choose a design of the SIS that reduces the risk to a tolerable level. The safe failure fraction (SFF) is a parameter defined in the standards IEC 61508 and IEC 61511, and is used to determine the need for additional channels that can activate the safety function if a failure is present. The standards consider a high SFF as an in
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Clausen, Mork Jonas. "Is it safe? Safety factor reasoning in policy-making under uncertainty /." Stockholm, Kungliga Tekniska högskolan, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-4053.

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Field, Emily. "Whose Safety Matters? Exaltation, Risky Refugees, and Canadian Safe Country Practices." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/30228.

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This thesis seeks to examine what cultural work is done on behalf of the state by the Safe Third Country Agreement and Bill C-31’s designated country of origin policy? I will be drawing on the work of Critical Race feminists and Critical Security Studies theorists to examine the concept of safety, systems of domination, and the parameters of national belonging. I will be performing a discourses analysis of the government’s and the Canadian Council for Refugee’s year one report of the Safe Third Country Agreement. I will also be performing a discourse analysis of the Citizenship and Immigration
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Maxfield, Mary. "The Safety Net: Troubling Safe Space as a Social Justice Aim." Bowling Green State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1460105175.

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Books on the topic "SafeML"

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Madigan, Lisa. Surfing safely: Online safety tips. Lisa Madigan, Illinois Attorney General, 2008.

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Madigan, Lisa. Surfing safely: Online safety tips. Illinois Attorney General, 2004.

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Tilley, Nick. Safer cities and community safety strategies. Home Office Police Dept., 1992.

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Inc, Avalon Integrated Services, ed. Safer journey: Interactive pedestrian safety awareness. U.S. Dept. of Transportation, Federal Highway Administration, 2000.

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Ohio. Dept. of Public Safety, ed. Safety belts: Help me grow up safely. Ohio Dept. of Public Safety, 1998.

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Transport, European Commission Directorate-General, ed. Safeco: Safety of shipping in coastal waters. Office for Official Publications of the European Communities, 1999.

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Ohio. Dept. of Public Safety, ed. Infant safety seats: Help me grow up safely. Ohio Dept. of Public Safety, 1999.

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Ohio. Dept. of Public Safety, ed. Booster safety seats: Help me grow up safely. Ohio Dept. of Public Safety, 1998.

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Ohio. Dept. of Public Safety, ed. Convertible safety seats: Help me grow up safely. Ohio Dept. of Public Safety, 1998.

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Ogden, Kenneth Wade. Safer roads: A guide to road safety engineering. Avebury Technical, 1996.

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Book chapters on the topic "SafeML"

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Aslansefat, Koorosh, Ioannis Sorokos, Declan Whiting, Ramin Tavakoli Kolagari, and Yiannis Papadopoulos. "SafeML: Safety Monitoring of Machine Learning Classifiers Through Statistical Difference Measures." In Model-Based Safety and Assessment. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58920-2_13.

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Bergler, Matthias, Ramin Tavakoli Kolagari, and Kristina Lundqvist. "Case Study on the Use of the SafeML Approach in Training Autonomous Driving Vehicles." In Image Analysis and Processing – ICIAP 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06433-3_8.

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Žuraulis, Vidas, and Vidmantas Pumputis. "Vision Zero in Lithuania." In The Vision Zero Handbook. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76505-7_15.

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AbstractThis chapter covers statistical data and initiatives related to the challenges and achievements of road safety in Lithuania. After providing an overview and an evaluation of previous programs to improve road safety in Lithuania, we discuss a selection of various improvements and assessment of safe traffic measures and their efficiency through relevant information from research and statistical data analysis. Priorities to achieve safer behavior of road users, safer streets and roads, safer vehicles, safer rail transport, and higher survival rates after accidents are discussed in more detail. The country-specific issues of pedestrian fatalities in dark hours, intensive land transportation due to geographical location, and accidents related to railway level crossings are also presented.
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Žuraulis, Vidas, and Vidmantas Pumputis. "Vision Zero in Lithuania." In The Vision Zero Handbook. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-23176-7_15-1.

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AbstractThis chapter covers statistical data and initiatives related to the challenges and achievements of road safety in Lithuania. After providing an overview and an evaluation of previous programs to improve road safety in Lithuania, we discuss a selection of various improvements and assessment of safe traffic measures and their efficiency through relevant information from research and statistical data analysis. Priorities to achieve safer behavior of road users, safer streets and roads, safer vehicles, safer rail transport, and higher survival rates after accidents are discussed in more detail. The country-specific issues of pedestrian fatalities in dark hours, intensive land transportation due to geographical location, and accidents related to railway level crossings are also presented.
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Hollnagel, Erik. "The safety legacy." In From Safety to Safely. Routledge, 2025. https://doi.org/10.4324/9781032664729-1.

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Hollnagel, Erik. "The futility of accident investigation." In From Safety to Safely. Routledge, 2025. https://doi.org/10.4324/9781032664729-3.

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Hollnagel, Erik. "Systemic potentials management." In From Safety to Safely. Routledge, 2025. https://doi.org/10.4324/9781032664729-4.

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Hollnagel, Erik. "Coda: connecting the dots." In From Safety to Safely. Routledge, 2025. https://doi.org/10.4324/9781032664729-5.

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Hollnagel, Erik. "The complexity conundrum." In From Safety to Safely. Routledge, 2025. https://doi.org/10.4324/9781032664729-2.

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Lal, Ratan, Aaron McKinnis, Dustin Hauptman, Shawn Keshmiri, and Pavithra Prabhakar. "Formally Verified Switching Logic for Recoverability of Aircraft Controller." In Computer Aided Verification. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-81685-8_27.

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AbstractIn this paper, we investigate the design of a safe hybrid controller for an aircraft that switches between a classical linear quadratic regulator (LQR) controller and a more intelligent artificial neural network (ANN) controller. Our objective is to switch safely between the controllers, such that the aircraft is always recoverable within a fixed amount of time while allowing the maximum time of operation for the ANN controller. There is a priori known safety zone for the LQR controller operation in which the aircraft never stalls, over accelerates, or exceeds maximum structural loading, and hence, by switching to the LQR controller just before exiting this zone, one can guarantee safety. However, this priori known safety zone is conservative, and therefore, limits the time of operation for the ANN controller. We apply reachability analysis to expand the known safety zone, such that the LQR controller will always be able to drive the aircraft back to the safe zone from the expanded zone (“recoverable zone") within a fixed duration. The “recoverable zone" extends the time of operation of the ANN controller. We perform simulations using the hybrid controller corresponding to the recoverable zone and observe that the design is indeed safe.
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Conference papers on the topic "SafeML"

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Matthias, Bergler, Tavakoli-Kolagari Ramin, and Lundqvist Kristina. "Identifying Underrepresented Driving Scenarios in Training Datasets with SafeML Robustness Monitoring for Autonomous Driving Vehicles." In 2024 8th International Conference on System Reliability and Safety (ICSRS). IEEE, 2024. https://doi.org/10.1109/icsrs63046.2024.10927539.

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Abuserrieh, Lobna, and Manar H. Alalfi. "IoT-SafeMod: Model-Driven Security and Safety for IoT Applications." In 2025 IEEE/ACM 7th International Workshop on Software Engineering Research & Practices for the IoT (SERP4IoT). IEEE, 2025. https://doi.org/10.1109/serp4iot66600.2025.00013.

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Braman, Gary. "History of System Safety." In Vertical Flight Society 74th Annual Forum & Technology Display. The Vertical Flight Society, 2018. http://dx.doi.org/10.4050/f-0074-2018-12875.

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The concept of system safety was first introduced in the 1940s. However, prior to that, safety was generally achieved by attempting to eliminate hazards in the initial design and then correcting other problems as they appeared after a product was in use or at least in a testing phase. In other words, a trial and error methodology was utilized. In aviation, this became known as the "fly-fix-fly" approach. An aircraft would be designed using the best knowledge available, flown until it crashed, then fixed and flown again. These approaches were not adequate for systems that had to be first-time s
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Gribnitz, Kurt, and Jan van der Merwe. "Lifting of Multiple in-Service Lines for CUPS Inspections and Remediation." In Coatings+ 2020. SSPC, 2020. https://doi.org/10.5006/s2020-00020.

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Abstract Many plant operators face an unknown risk concerning the integrity of support touchpoints under piping and cable racks, especially in older plants. This is commonly referred to as Corrosion under/at Pipe Supports (CUPS/CAPS). These touchpoints are exposed to galvanic corrosion which reduces pipe wall thickness over time and will eventually result in a safety risk to the environment and plant personnel. Without intervention the line will eventually require replacement in a shut-down situation and traditional methods of gaining access to these areas in a live environment are costly and
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Brown, Kenneth C., Gordon I. Russell, and Douglas J. Carrigan. "Safe, Permanently Protected Pipelines." In CORROSION 1987. NACE International, 1987. https://doi.org/10.5006/c1987-87316.

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Abstract The Electrical Isolation of Cathodically Protected Pipelines, per NACE’s RP-02-86, is designed to secure an effectively grounded condition. Effective grounding is necessary, in electrical codes, to protect the safety of the public, operating personnel and equipment. Therefore, metallic separations are designed to be electrically continuous during electrical disturbances, and the electrically isolated pipeline is to remain effectively grounded to earth. During the safely electrically isolated condition, the polarized surface film permanently protects the pipeline. Typical case historie
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Dahlstrom, Robert (Bob). "The Emergence of Contact Based Nondestructive Testing (NDT) at Height Utilizing Aerial Robotic (Drone) Systems." In Coatings+ 2020. SSPC, 2020. https://doi.org/10.5006/s2020-00014.

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Abstract For corrosion engineers to take Nondestructive Testing (NDT) measurements at height, currently they may need to utilize a lift, scaffolding, ladders, inspection trucks with elevated baskets, rope work, catwalks, cranes and rigging or other solutions. NDT inspection programs can dramatically increase the safety and integrity of infrastructure, industrial and manufacturing assets, access requirements in performing these inspections introduces risk. NDT inspection sites often require access to elevated areas and the use of equipment such as personal fall protection (safety harness and la
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Hunter, David A. "Going Critical: Basics of Nuclear Safety Related Coatings." In SSPC 2018. SSPC, 2018. https://doi.org/10.5006/s2018-00036.

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Abstract There are currently 99 operating power plants in the US. These facilities produce critical base load to the electric grid. Their safe operation is paramount to lives and property of persons that live near them. The plants’ original design includes designing to withstand various postulated natural and operation events that could affect the safe shut down of the facility, which are called design basis accidents. The safety systems that operate to achieve safe shut down can be affected by coating failure, therefore some coatings systems are critical to safe shut down, which are denoted s
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Enger, Thomas E. "The Use of Personal Protective Equipment and Regulations & Standards Affecting Safe Abrasive Blasting." In SSPC 2011. SSPC, 2011. https://doi.org/10.5006/s2011-00018.

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Employers understand that safety is one of the most important ingredients to a successful business. However, providing a safe workplace and ensuring a safe and environmentally-sound environment is complex. Navigating the course to fool-proof safety can be mind-boggling.
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Lee, Donggyu, and Ehecatl Antonio del Rio Chanona. "Safe Bayesian Optimization in Process System Engineering." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.139993.

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Safe Bayesian Optimization (Safe BO) has demonstrated significant promise in enhancing data-driven optimization strategies in safety-critical settings, where model discrepancies, noisy measurements, and unknown safety constraints are prevalent. Despite these advancements, there still remains a limited understanding on the effectiveness and applicability of these Safe BO methods, particularly within process system engineering. Specifically, this study adapts and examines Safe Exploration for Optimization with Gaussian Processes (SafeOpt), Goal-oriented Safe Exploration (GoOSE), Gaussian Process
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Liu, Yixiu, Yuxiang Zheng, Shijie Xia, et al. "SAFETY-J: Evaluating Safety with Critique." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.64.

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Reports on the topic "SafeML"

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Wang, Shenlong, and David Forsyth. Safely Test Autonomous Vehicles with Augmented Reality. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-015.

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This work exploits augmented reality to safely train and validate autonomous vehicles’ performance in the real world under safety-critical scenarios. Toward this goal, we first develop algorithms that create virtual traffic participants with risky behaviors and seamlessly insert the virtual events into real images perceived from the physical world. The resulting composed images are photorealistic and physically grounded. The manipulated images are fed into the autonomous vehicle during testing, allowing the self-driving vehicle to react to such virtual events within either a photorealistic sim
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Blanch, Carol. Safety Analytics Forecasting and Evaluation Reporting (SAFER). Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1763243.

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Kulhandjian, Hovannes. Smart Robot Design and Implementation to Assist Pedestrian Road Crossing. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2353.

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This research focuses on designing and developing a smart robot to assist pedestrians with road crossings. Pedestrian safety is a major concern, as highlighted by the high annual rates of fatalities and injuries. In 2020, the United States recorded 6,516 pedestrian fatalities and approximately 55,000 injuries, with children under 16 being especially vulnerable. This project aims to address this need by offering an innovative solution that prioritizes real-time detection and intelligent decision-making at intersections. Unlike existing studies that rely on traffic light infrastructure, our appr
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Boyer, Renee. Enhancing The Safety of Locally Grown Produce: Transporting Produce Safely. Virginia Cooperative Extension, 2019. http://dx.doi.org/10.21061/fst-43np_fst-340np.

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Rudner, Tim, and Helen Toner. Key Concepts in AI Safety: Interpretability in Machine Learning. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20190042.

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This paper is the third installment in a series on “AI safety,” an area of machine learning research that aims to identify causes of unintended behavior in machine learning systems and develop tools to ensure these systems work safely and reliably. The first paper in the series, “Key Concepts in AI Safety: An Overview,” described three categories of AI safety issues: problems of robustness, assurance, and specification. This paper introduces interpretability as a means to enable assurance in modern machine learning systems.
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Rudner, Tim, and Helen Toner. Key Concepts in AI Safety: Robustness and Adversarial Examples. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20190041.

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This paper is the second installment in a series on “AI safety,” an area of machine learning research that aims to identify causes of unintended behavior in machine learning systems and develop tools to ensure these systems work safely and reliably. The first paper in the series, “Key Concepts in AI Safety: An Overview,” described three categories of AI safety issues: problems of robustness, assurance, and specification. This paper introduces adversarial examples, a major challenge to robustness in modern machine learning systems.
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Fairweather, Zan, Denzil Fiebig, Adam Gorajek, Rochelle Guttmann, June Ma, and Jack Mulqueeney. Valuing Safety and Privacy in Retail Central Bank Digital Currency. Reserve Bank of Australia, 2024. http://dx.doi.org/10.47688/rdp2024-02.

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This paper explores the merits of introducing a retail central bank digital currency (CBDC) in Australia, focusing on the extent to which consumers would value having access to a digital form of money that is even safer and potentially more private than commercial bank deposits. To conduct our exploration we run a discrete choice experiment, which is a technique designed specifically for assessing public valuations of goods without markets. The results suggest that the average consumer attaches no value to the added safety of a CBDC. This is consistent with bank deposits in Australia already b
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Heimdahl, Olaf E. R., Paul LaHoud, and Leon Darrel Chapman. Safety Assessment for Explosive Risk (SAFER) peer review report. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/919139.

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9

Rudner, Tim, and Helen Toner. Key Concepts in AI Safety: An Overview. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20190040.

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This paper is the first installment in a series on “AI safety,” an area of machine learning research that aims to identify causes of unintended behavior in machine learning systems and develop tools to ensure these systems work safely and reliably. In it, the authors introduce three categories of AI safety issues: problems of robustness, assurance, and specification. Other papers in this series elaborate on these and further key concepts.
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Rduner, Tim G. J., and Helen Toner. Key Concepts in AI Safety: Specification in Machine Learning. Center for Security and Emerging Technology, 2021. http://dx.doi.org/10.51593/20210031.

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This paper is the fourth installment in a series on “AI safety,” an area of machine learning research that aims to identify causes of unintended behavior in machine learning systems and develop tools to ensure these systems work safely and reliably. The first paper in the series, “Key Concepts in AI Safety: An Overview,” outlined three categories of AI safety issues—problems of robustness, assurance, and specification—and the subsequent two papers described problems of robustness and assurance, respectively. This paper introduces specification as a key element in designing modern machine learn
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