Computer Law Commons^™

Enhancement Of Media Splicing Detection: A General Framework, Songpon Teerakanok, Tetsutaro Uehara

Journal of Digital Forensics, Security and Law

Digital media (i.e., image, audio) has played an influential role in today information system. The increasing of popularity in digital media has brought forth many technological advancements. The advancements, however, also gives birth to a number of forgeries and attacks against this type of information. With the availability of easy-to-use media manipulating tools available online, the authenticity of today digital media cannot be guaranteed. In this paper, a new general framework for enhancing today media splicing detection has been proposed. By combining results from two traditional approaches, the enhanced detection results show improvement in term of clarity in which ...

A New Framework For Securing, Extracting And Analyzing Big Forensic Data, Hitesh Sachdev, Hayden Wimmer, Lei Chen, Carl Rebman

Journal of Digital Forensics, Security and Law

Finding new methods to investigate criminal activities, behaviors, and responsibilities has always been a challenge for forensic research. Advances in big data, technology, and increased capabilities of smartphones has contributed to the demand for modern techniques of examination. Smartphones are ubiquitous, transformative, and have become a goldmine for forensics research. Given the right tools and research methods investigating agencies can help crack almost any illegal activity using smartphones. This paper focuses on conducting forensic analysis in exposing a terrorist or criminal network and introduces a new Big Forensic Data Framework model where different technologies of Hadoop and EnCase software are ...

A Bit Like Cash: Understanding Cash-For-Bitcoin Transactions Through Individual Vendors, Stephanie J. Robberson, Mark R. Mccoy

Journal of Digital Forensics, Security and Law

As technology improves and economies become more globalized, the concept of currency has evolved. Bitcoin, a cryptographic digital currency, has been embraced as a secure and convenient type of money. Due to its security and privacy for the user, Bitcoin is a good tool for conducting criminal trades. The Financial Crimes Enforcement Network (FinCEN) has regulations in place to make identification information of Bitcoin purchasers accessible to law enforcement, but enforcing these rules with cash-for-Bitcoin traders is difficult. This study surveyed cash-for-Bitcoin vendors in Oklahoma, Texas, Arkansas, Missouri, Kansas, Colorado, and New Mexico to determine personal demographic information, knowledge of ...

Bazaar Transnational Drafting: An Analysis Of The Gnu Public License Version 3 Revision Process, Christopher M. Dileo

San Diego International Law Journal

This Article will step through the drafting process and compare bazaar and cathedral modes of drafting to determine if a bazaar mode can efficiently produce a legal instrument that crosses legal regimes. As the title suggests, the bazaar process analysis case will be the GNU General Public License version 3 (the GPLv3) Revision Process. A comparison of the advantages and disadvantages of the bazaar mode of drafting to the cathedral mode of drafting will hopefully demonstrate the overall value of a transnational bazaar process like the GPLv3 Revision Process.

Fool Me Once: Regulating "Fake News" And Other Online Advertising, Abby Wood, Ann M. Ravel

University of Southern California Legal Studies Working Paper Series

A lack of transparency for online political advertising has long been a problem in American political campaigns. Disinformation attacks that American voters have experienced since the 2016 campaign have made the need for regulatory action more pressing.

Platforms desire self-regulation and have only recently come around to supporting transparency regulations. While government must not regulate the content of political speech, it can, and should, force transparency into the process. We propose several interventions aimed at transparency. Most importantly, campaign finance regulators should require platforms to store and make available ads run on their platforms, as well as the audience at ...

Introduction, Annette Clark

Seattle University Law Review

Introductory remarks given by Dean Annette Clark at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law.”

Panel 1: Robotic Speech And The First Amendment, Bruce E. H. Johnson, Helen Norton, David Skover

Seattle University Law Review

Transcript of the panel discussion at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law.” The panel is moderated by Seattle University School of Law Professor Gregory Silverman, and discusses the forthcoming book Robotica, by David M. Skover and Ronald K. L. Collins. The panelists are Bruce E. H. Johnson, Helen Norton, and David M. Skover.

Panel 2: Accountability For The Actions Of Robots, Ryan Calo, Howard Jay Chizeck, Elizabeth Joh, Blake Hannaford

Seattle University Law Review

Transcript of the panel discussion at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law” discussing human control and Artificial Intellegence learning. The panel participants are Ryan Calo, Howard Jay Chizeck, Elizabeth Joh, and Blake Hannaford.

Keynote Address, Ryan Calo

Seattle University Law Review

Transcript of the keynote address at the 2018 Seattle University School of Law symposium “Singularity: AI and the Law.” The keynote address is presented by Ryan Calo and discusses the current status of artificial intelligence learning, and how this current status is moving toward robotic singularity.

Artificial Intellegence And Policing: First Questions, Elizabeth E. Joh

Seattle University Law Review

Artificial intelligence is playing an increasingly larger role in all sectors of society, including policing. Many police departments are already using artificial intelligence (AI) to help predict and identify suspicious persons and places.1 Increased computational power and oceans of data have given rise to inferences about violence and threats.2 AI will change policing just as it will healthcare, insurance, commerce, and transportation. But what questions should we ask about AI and policing?

Robotic Speakers And Human Listeners, Helen Norton

Seattle University Law Review

This article discusses protected First Amendment speech and how this protection should be applied to robotic speech. Robotic speech is that created by automated means, currently “bots” but the producers of automated speech are evolving. The article further differentiates between rights of the producers of this speech and listeners or consumers of the speech, and the impact of First Amendment protections on each group.

Virtual Ethics And The Creeper Act, Justin Tiehen

Seattle University Law Review

A legal and moral discussion of the development of child sex bots (CSB), childlike sex dolls, comparing society-at-large’s general squeamishness of the area, and attempts to regulate (for example, the CREEPER Act) with the prophylactic therapeutic benefits of these robots.

Ethical Machines?, Ariela Tubert

Seattle University Law Review

This Article explores the possibility of having ethical artificial intelligence. It argues that we face a dilemma in trying to develop artificial intelligence that is ethical: either we have to be able to codify ethics as a set of rules or we have to value a machine’s ability to make ethical mistakes so that it can learn ethics like children do. Neither path seems very promising, though perhaps by thinking about the difficulties with each we may come to a better understanding of artificial intelligence and ourselves.

Nova Law Review

Nova Law Review

No abstract provided.

Masthead

Journal of Digital Forensics, Security and Law

No abstract provided.

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Cover

Journal of Digital Forensics, Security and Law

No abstract provided.

Publication Information

Journal of Digital Forensics, Security and Law

No abstract provided.

Back Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Yelp’S Review Filtering Algorithm, Yao Yao, Ivelin Angelov, Jack Rasmus-Vorrath, Mooyoung Lee, Daniel W. Engels

SMU Data Science Review

In this paper, we present an analysis of features influencing Yelp's proprietary review filtering algorithm. Classifying or misclassifying reviews as recommended or non-recommended affects average ratings, consumer decisions, and ultimately, business revenue. Our analysis involves systematically sampling and scraping Yelp restaurant reviews. Features are extracted from review metadata and engineered from metrics and scores generated using text classifiers and sentiment analysis. The coefficients of a multivariate logistic regression model were interpreted as quantifications of the relative importance of features in classifying reviews as recommended or non-recommended. The model classified review recommendations with an accuracy of 78%. We found that ...