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Articles 1 - 30 of 43
Full-Text Articles in Law
Creating Data From Unstructured Text With Context Rule Assisted Machine Learning (Craml), Stephen Meisenbacher, Peter Norlander
Creating Data From Unstructured Text With Context Rule Assisted Machine Learning (Craml), Stephen Meisenbacher, Peter Norlander
School of Business: Faculty Publications and Other Works
Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that builds structured, labeled datasets which are accurate and reproducible. CRAML enables domain experts to access uncommon constructs within a document corpus in a low-resource, transparent, and flexible manner. CRAML produces document-level datasets for quantitative research and makes qualitative classification schemes scalable over large volumes of text. We demonstrate that the method is useful for bibliographic analysis, transparent analysis of proprietary data, …
Scaling Investment In Renewable Energy Generation To Achieve Sustainable Development Goals 7 (Affordable And Clean Energy) And 13 (Climate Action) And The Paris Agreement: Roadblocks And Drivers, Mithatcan Aydos, Perrine Toledano, Martin Dietrich Brauch, Ladan Mehranvar, Theodoros Iliopoulos, Sunayana Sasmal
Scaling Investment In Renewable Energy Generation To Achieve Sustainable Development Goals 7 (Affordable And Clean Energy) And 13 (Climate Action) And The Paris Agreement: Roadblocks And Drivers, Mithatcan Aydos, Perrine Toledano, Martin Dietrich Brauch, Ladan Mehranvar, Theodoros Iliopoulos, Sunayana Sasmal
Columbia Center on Sustainable Investment
The zero-carbon energy transition is the solution to the 2022 energy crisis and a fundamental part of the solution to the global climate crisis. Yet, there are relatively low levels of investment in renewable energy in developing countries, hindering their achievement of the Sustainable Development Goals (SDGs) and contribution to the Paris Agreement goals.
In 2021, the Asia–Pacific region (excluding China) accounted for less than 8% of investments in energy transition technologies, Latin America and the Caribbean for less than 4%, and Africa and the Middle East for less than 2%. Annual investment in zero-carbon energy in developing economies other …
Conflicts Between Ghg Accounting Methodologies In The Steel Industry, John Biberman, Perrine Toledano, Baihui Lei, Max Lulavy, Rohini Ram Mohan
Conflicts Between Ghg Accounting Methodologies In The Steel Industry, John Biberman, Perrine Toledano, Baihui Lei, Max Lulavy, Rohini Ram Mohan
Columbia Center on Sustainable Investment
Accurate, verifiable, and comparable greenhouse gas (GHG) emissions data throughout supply chains in the materials sector are necessary to drive decarbonization. This is particularly the case for the steel supply chain, a major source of GHG emissions with untapped potential for reduction. However, emissions accounting methods used by the steel industry suffer from gaps and misalignment, resulting in significant differences in reported GHG emissions. The result is a patchwork reporting landscape vulnerable to manipulation and miscommunication, generating little actionable data for policymakers, producers, customers, and investors. These shortcomings highlight the need for a harmonized carbon accounting framework for the steel …
Scaling Investment In Renewable Energy: Roadblocks And Drivers – Executive Summary, Mithatcan Aydos, Perrine Toledano, Martin Dietrich Brauch, Ladan Mehranvar, Theodoros Iliopoulos, Sunayana Sasmal
Scaling Investment In Renewable Energy: Roadblocks And Drivers – Executive Summary, Mithatcan Aydos, Perrine Toledano, Martin Dietrich Brauch, Ladan Mehranvar, Theodoros Iliopoulos, Sunayana Sasmal
Columbia Center on Sustainable Investment
The zero-carbon energy transition is the solution to the 2022 energy crisis and a fundamental part of the solution to the global climate crisis. Yet, there are relatively low levels of investment in renewable energy in developing countries, hindering their achievement of the Sustainable Development Goals (SDGs) and contribution to the Paris Agreement goals.
In 2021, the Asia–Pacific region (excluding China) accounted for less than 8% of investments in energy transition technologies, Latin America and the Caribbean for less than 4%, and Africa and the Middle East for less than 2%. Annual investment in zero-carbon energy in developing economies other …
Forks Over Knives: Predictive Inconsistency In Criminal Justice Algorithmic Risk Assessment Tools, Travis Greene, Galit Shmueli, Jan Fell, Ching-Fu Lin, Han-Wei Liu
Forks Over Knives: Predictive Inconsistency In Criminal Justice Algorithmic Risk Assessment Tools, Travis Greene, Galit Shmueli, Jan Fell, Ching-Fu Lin, Han-Wei Liu
Research Collection Yong Pung How School Of Law
Big data and algorithmic risk prediction tools promise to improve criminal justice systems by reducing human biases and inconsistencies in decision-making. Yet different, equally justifiable choices when developing, testing and deploying these socio-technical tools can lead to disparate predicted risk scores for the same individual. Synthesising diverse perspectives from machine learning, statistics, sociology, criminology, law, philosophy and economics, we conceptualise this phenomenon as predictive inconsistency. We describe sources of predictive inconsistency at different stages of algorithmic risk assessment tool development and deployment and consider how future technological developments may amplify predictive inconsistency. We argue, however, that in a diverse and …
Open-Source Clinical Machine Learning Models: Critical Appraisal Of Feasibility, Advantages, And Challenges, Keerthi B. Harish, W. Nicholson Price Ii, Yindalon Aphinyanaphongs
Open-Source Clinical Machine Learning Models: Critical Appraisal Of Feasibility, Advantages, And Challenges, Keerthi B. Harish, W. Nicholson Price Ii, Yindalon Aphinyanaphongs
Articles
Machine learning applications promise to augment clinical capabilities and at least 64 models have already been approved by the US Food and Drug Administration. These tools are developed, shared, and used in an environment in which regulations and market forces remain immature. An important consideration when evaluating this environment is the introduction of open-source solutions in which innovations are freely shared; such solutions have long been a facet of digital culture. We discuss the feasibility and implications of open-source machine learning in a health care infrastructure built upon proprietary information. The decreased cost of development as compared to drugs and …
A Not-So-Clean Slate: A Progress Report Of Pa’S Automated Record Sealing Law, Matt B. Saboe, Tekia Huger-Burton
A Not-So-Clean Slate: A Progress Report Of Pa’S Automated Record Sealing Law, Matt B. Saboe, Tekia Huger-Burton
Sustainability Research & Practice Seminar Presentations
Professor Matt B. Saboe, Economics and Finance, and Tekia Huger-Burton - A Not-So-Clean Slate: A Progress Report of PA’s Automated Record Sealing Law
Lawbreaker: An Approach For Specifying Traffic Laws And Fuzzing Autonomous Vehicles, Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, Zijiang Yang
Lawbreaker: An Approach For Specifying Traffic Laws And Fuzzing Autonomous Vehicles, Yang Sun, Christopher M. Poskitt, Jun Sun, Yuqi Chen, Zijiang Yang
Research Collection School Of Computing and Information Systems
Autonomous driving systems (ADSs) must be tested thoroughly before they can be deployed in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse scenarios, including those that are difficult to recreate in real-world testing grounds. While previous approaches have shown that test cases can be generated automatically, they tend to focus on weak oracles (e.g. reaching the destination without collisions) without assessing whether the journey itself was undertaken safely and satisfied the law. In this work, we propose LawBreaker, an automated framework for testing ADSs against real-world traffic laws, which is designed to be compatible with different scenario …
A Destabilized World: The Effects Of Climate Change On Armed Conflict And International Humanitarian Law, Chase Doctor
A Destabilized World: The Effects Of Climate Change On Armed Conflict And International Humanitarian Law, Chase Doctor
Independent Study Project (ISP) Collection
The effects of climate change are becoming more pronounced, and they will have an increasingly destabilizing effect on societies around the globe. This research paper utilizes primary source material (e.g. interviews with field experts) and secondary source material to analyze the relationship between climate change and armed conflict, and the response of international humanitarian law. The consequences of climate change, like changing weather patterns, will increase global migration and strain the resources of host communities. This phenomenon, in addition to other climate-induced factors, may increase the likelihood of armed conflict breaking out. The case studies of the Darfur conflict in …
User Guided Abductive Proof Generation For Answer Set Programming Queries, Avishkar Mahajan, Martin Strecker, Meng Weng (Huang Mingrong) Wong
User Guided Abductive Proof Generation For Answer Set Programming Queries, Avishkar Mahajan, Martin Strecker, Meng Weng (Huang Mingrong) Wong
Research Collection Yong Pung How School Of Law
We present a method for generating possible proofs of a query with respect to a given Answer Set Programming (ASP) rule set using an abductive process where the space of abducibles is automatically constructed just from the input rules alone. Given a (possibly empty) set of user provided facts, our method infers any additional facts that may be needed for the entailment of a query and then outputs these extra facts, without the user needing to explicitly specify the space of all abducibles. We also present a method to generate a set of directed edges corresponding to the justification graph …
Flint Michigan Drinking Water Crisis, J. David Aiken
Flint Michigan Drinking Water Crisis, J. David Aiken
Cornhusker Economics
Briefly covers the Flint, Michigan drinking water crisis including providing some background, a timeline of events, and key takeaways from the perspective of public policy.
This article was originally prepared for distribution to students in Aiken's AECN 357 environmental and natural resources law course.
Project Khepri: Asteroid Mining Project. Final Policy Report, Aaron Groh, Brieanna Miklaucic, Valerie Oosterveld, Elizabeth Steyn
Project Khepri: Asteroid Mining Project. Final Policy Report, Aaron Groh, Brieanna Miklaucic, Valerie Oosterveld, Elizabeth Steyn
Institute for Earth and Space Exploration White Papers
Much like outer space, our legal system consists of many unknowns. This is especially true for new developments in emerging technologies, particularly those related to the exploration, exploitation, and utilization of space resources. The recently developed technical feasibility of space mining has advanced ahead of existing international space treaties. While certain articles of the major UN treaties can be interpreted to adapt to the utilization of space resources, most of these provisions were not originally designed to be applied to a space mining regime.
Keeping in mind this context, this paper sets out the current international law landscape, including the …
Automating Defeasible Reasoning In Law With Answer Set Programming, How Khang Lim, Avishkar Mahajar, Martin Strecker, Meng Weng Wong
Automating Defeasible Reasoning In Law With Answer Set Programming, How Khang Lim, Avishkar Mahajar, Martin Strecker, Meng Weng Wong
Centre for Computational Law
The paper studies defeasible reasoning in rule-based systems, in particular about legal norms and contracts. We identify rule modifiers that specify how rules interact and how they can be overridden. We then define rule transformations that eliminate these modifiers, leading in the end to a translation of rules to formulas. For reasoning with and about rules, we contrast two approaches, one in a classical logic with SMT solvers, which is only briefly sketched, and one using non-monotonic logic with Answer Set Programming solvers, described in more detail.
Data Vu: Why Breaches Involve The Same Stories Again And Again, Woodrow Hartzog, Daniel Solove
Data Vu: Why Breaches Involve The Same Stories Again And Again, Woodrow Hartzog, Daniel Solove
Shorter Faculty Works
In the classic comedy Groundhog Day, protagonist Phil, played by Bill Murray, asks “What would you do if you were stuck in one place and every day was exactly the same, and nothing that you did mattered?” In this movie, Phil is stuck reliving the same day over and over, where the events repeat in a continual loop, and nothing he does can stop them. Phil’s predicament sounds a lot like our cruel cycle with data breaches.
Every year, organizations suffer more data spills and attacks, with personal information being exposed and abused at alarming rates. While Phil …
Biometrics And An Ai Bill Of Rights, Margaret Hu
Biometrics And An Ai Bill Of Rights, Margaret Hu
Faculty Publications
This Article contends that an informed discussion on an AI Bill of Rights requires grappling with biometric data collection and its integration into emerging AI systems. Biometric AI systems serve a wide range of governmental purposes, including policing, border security and immigration enforcement, and biometric cyberintelligence and biometric-enabled warfare. These systems are increasingly categorized as "high-risk" when deployed in ways that may impact fundamental constitutional rights and human rights. There is growing recognition that high-risk biometric AI systems, such as facial recognition identification, can pose unprecedented challenges to criminal procedure rights. This Article concludes that a failure to recognize these …
Reply To Response By Fbi Laboratory Filed In Illinois V. Winfield And Affidavit By Biederman Et Al. (2022) Filed In Us V. Kaevon Sutton (2018 Cf1 009709), Susan Vanderplas, Kori Khan, Heike Hofmann, Alicia Carriquiry
Reply To Response By Fbi Laboratory Filed In Illinois V. Winfield And Affidavit By Biederman Et Al. (2022) Filed In Us V. Kaevon Sutton (2018 Cf1 009709), Susan Vanderplas, Kori Khan, Heike Hofmann, Alicia Carriquiry
Department of Statistics: Faculty Publications
1 Preliminaries
1.1 Scope
The aim of this document is to respond to issues raised in Federal Bureau of Investigation1 and Alex Biedermann, Bruce Budowle & Christophe Champod.2
1.2 Conflict of Interest
We are statisticians employed at public institutions of higher education (Iowa State University and University of Nebraska, Lincoln) and have not been paid for our time or expertise when preparing either this response or the original affidavit.3 We provide this information as a public service and as scientists and researchers in this area.
1.3 Organization
The rest of the document precedes as follows: we begin …
Student Self-Grading Form, Brett Whysel
Student Self-Grading Form, Brett Whysel
Open Educational Resources
This is a word document that students use at the beginning, midpoint, and end of a semester to set relevant goals, measure progress towards goals, and self-grade. It is intended to build motivation, metacognition, and accountability. Instructors may use it on its own or to supplement other assessment tools, and improve the accuracy, validity, and fairness of final grades.
Spotlight Report #6: Proffering Machine-Readable Personal Privacy Research Agreements: Pilot Project Findings For Ieee P7012 Wg, Noreen Y. Whysel, Lisa Levasseur
Spotlight Report #6: Proffering Machine-Readable Personal Privacy Research Agreements: Pilot Project Findings For Ieee P7012 Wg, Noreen Y. Whysel, Lisa Levasseur
Publications and Research
What if people had the ability to assert their own legally binding permissions for data collection, use, sharing, and retention by the technologies they use? The IEEE P7012 has been working on an interoperability specification for machine-readable personal privacy terms to support this ability since 2018. The premise behind the work of IEEE P7012 is that people need technology that works on their behalf—i.e. software agents that assert the individual’s permissions and preferences in a machine-readable format.
Thanks to a grant from the IEEE Technical Activities Board Committee on Standards (TAB CoS), we were able to explore the attitudes of …
Gauging The Acceptance Of Contact Tracing Technology: An Empirical Study Of Singapore Residents’ Concerns With Sharing Their Information And Willingness To Trust, Ee-Ing Ong, Wee Ling Loo
Gauging The Acceptance Of Contact Tracing Technology: An Empirical Study Of Singapore Residents’ Concerns With Sharing Their Information And Willingness To Trust, Ee-Ing Ong, Wee Ling Loo
Research Collection Yong Pung How School Of Law
In response to the COVID-19 pandemic, governments began implementing various forms of contact tracing technology. Singapore’s implementation of its contact tracing technology, TraceTogether, however, was met with significant concern by its population, with regard to privacy and data security. This concern did not fit with the general perception that Singaporeans have a high level of trust in its government. We explore this disconnect, using responses to our survey (conducted pre-COVID-19) in which we asked participants about their level of concern with the government and business collecting certain categories of personal data. The results show that respondents had less concern with …
Problematic Ai — When Should We Use It?, Fredric Lederer
Problematic Ai — When Should We Use It?, Fredric Lederer
Popular Media
No abstract provided.
The Executive’S Guide To Getting Ai Wrong, Jerrold Soh
The Executive’S Guide To Getting Ai Wrong, Jerrold Soh
Asian Management Insights
It’s all math. Really.
Fast Fashion: A Price The Planet Has To Pay, Abby Gager
Fast Fashion: A Price The Planet Has To Pay, Abby Gager
Environmental Law Journal blog
With fashion trends rapidly changing, the fashion industry is placed under pressure to produce new styles quickly and for a cheap price. Although consumers enjoy having the latest trends at their fingertips with the convenience of online shopping, the rise of fast fashion will have a long-lasting detrimental impact on the environment. Fashion is considered “fast” for a variety of reasons; the constant change in trends is fast, the rate of production is fast, the consumer’s decision and methods of buying are fast, delivery is fast, and articles of clothing are worn fast before they are tossed and to never …
Protecting Terrapins With Teds In Virginia: Lessons From Other States, Bridget Verrekia, Shelby Fuchs
Protecting Terrapins With Teds In Virginia: Lessons From Other States, Bridget Verrekia, Shelby Fuchs
Virginia Coastal Policy Center
This paper highlights case studies about other states' efforts to require or incentivize the use of TEDs [terrapin excluder devices] and recommends policies for Virginia to adopt that have proven successful elsewhere. First, it outlines the threats to terrapins at large, as well as the threat posed by commercial and recreational crabbing, specifically. Next, it details the efforts that other East Coast states have made to combat the problem, including policies that require or incentivize the use of TEDs on crab pots, and discusses the regulatory framework currently in place in Virginia. Finally, this paper concludes by analyzing the approaches …
Ai Insurance: How Liability Insurance Can Drive The Responsible Adoption Of Artificial Intelligence In Health Care, Ariel Dora Stern, Avi Goldfarb, Timo Minssen, W. Nicholson Price Ii
Ai Insurance: How Liability Insurance Can Drive The Responsible Adoption Of Artificial Intelligence In Health Care, Ariel Dora Stern, Avi Goldfarb, Timo Minssen, W. Nicholson Price Ii
Articles
Despite enthusiasm about the potential to apply artificial intelligence (AI) to medicine and health care delivery, adoption remains tepid, even for the most compelling technologies. In this article, the authors focus on one set of challenges to AI adoption: those related to liability. Well-designed AI liability insurance can mitigate predictable liability risks and uncertainties in a way that is aligned with the interests of health care’s main stakeholders, including patients, physicians, and health care organization leadership. A market for AI insurance will encourage the use of high-quality AI, because insurers will be most keen to underwrite those products that are …
Volume Introduction, I. Glenn Cohen, Timo Minssen, W. Nicholson Price Ii, Christopher Robertson, Carmel Shachar
Volume Introduction, I. Glenn Cohen, Timo Minssen, W. Nicholson Price Ii, Christopher Robertson, Carmel Shachar
Other Publications
Medical devices have historically been less regulated than their drug and biologic counterparts. A benefit of this less demanding regulatory regime is facilitating innovation by making new devices available to consumers in a timely fashion. Nevertheless, there is increasing concern that this approach raises serious public health and safety concerns. The Institute of Medicine in 2011 published a critique of the American pathway allowing moderate-risk devices to be brought to the market through the less-rigorous 501(k) pathway,1 flagging a need for increased postmarket review and surveillance. High-profile recalls of medical devices, such as vaginal mesh products, along with reports globally …
Moving Toward Personalized Law, Cary Coglianese
Moving Toward Personalized Law, Cary Coglianese
All Faculty Scholarship
Rules operate as a tool of governance by making generalizations, thereby cutting down on government officials’ need to make individual determinations. But because they are generalizations, rules can result in inefficient or perverse outcomes due to their over- and under-inclusiveness. With the aid of advances in machine-learning algorithms, however, it is becoming increasingly possible to imagine governments shifting away from a predominant reliance on general rules and instead moving toward increased reliance on precise individual determinations—or on “personalized law,” to use the term Omri Ben-Shahar and Ariel Porat use in the title of their 2021 book. Among the various technological, …
Trust In Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay
Trust In Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay
Centre for AI & Data Governance
Pivoting on the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the HRI interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned stages of trust, our proposed Decision to Trust model considers more extensively the human and situational factors influencing how trust …
Designing Respectful Tech: What Is Your Relationship With Technology?, Noreen Y. Whysel
Designing Respectful Tech: What Is Your Relationship With Technology?, Noreen Y. Whysel
Publications and Research
According to research at the Me2B Alliance, people feel they have a relationship with technology. It’s emotional. It’s embodied. And it’s very personal. We are studying digital relationships to answer questions like “Do people have a relationship with technology?” “What does that relationship feel like?” And “Do people understand the commitments that they are making when they explore, enter into and dissolve these relationships?” There are parallels between messy human relationships and the kinds of relationships that people develop with technology. As with human relationships, we move through states of discovery, commitment and breakup with digital applications as well. Technology …
Sustainability Obligations And Liabilities For The Company Director, Richard Allen, Michael Tang, Jan Tan, Gautam Mukharya
Sustainability Obligations And Liabilities For The Company Director, Richard Allen, Michael Tang, Jan Tan, Gautam Mukharya
Perspectives@SMU
SGX now requires its listees to issue a sustainability report. Why is this happening? And what do directors need to know?
Me2b Alliance Validation Testing Report: Consumer Perception Of Legal Policies In Digital Technology, Noreen Y. Whysel, Karina Alexanyan, Shaun Spaulting, Julia Little
Me2b Alliance Validation Testing Report: Consumer Perception Of Legal Policies In Digital Technology, Noreen Y. Whysel, Karina Alexanyan, Shaun Spaulting, Julia Little
Publications and Research
Our relationship with technology involves legal agreements that we either review or enter into when using a technology, namely privacy policies and terms of service or terms of use (“TOS/TOU”). We initiated this research to understand if providing a formal rating of the legal policies (privacy policies and TOS/TOUs) would be valuable to consumers (or Me-s). From our early qualitative discussions, we noticed that people were unclear on whether these policies were legally binding contracts or not. Thus, a secondary objective emerged to quantitatively explore whether people knew who these policies protected (if anyone), and if the policies were perceived …