Invasion or merely interesting?

https://www.bigtechnology.com/p/how-shein-and-temu-snuck-up-on-amazon

How Shein and Temu Snuck Up on Amazon

The Chinese-owned platforms represent the biggest threat to its e-commerce empire in recent memory.

Will it also accept input from AI?

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4830981

Introduction to the Handbook of the Ethics of Artificial Intelligence

Artificial intelligence is having a transformative effect across the spectrum of human endeavor. But along with the remarkable opportunities and promises heralded by these technologies, there are also significant challenges. Responses to these challenges have taken shape and been organized under the umbrella of what has been called the ethics of AI. But these efforts have not been without their own set of difficulties. First and foremost is the fact that the field tends to rely on Western/European moral and legal philosophies, meaning that the frameworks currently being utilized to address the big challenges of AI run the risk of reproducing many of the difficulties that the field seeks to redress. The Handbook of the Ethics of AI is deliberately designed to respond to this problem by diversifying the field of AI ethics, opening it to others and other ways of thinking and doing ethics. This introduction provides an overview of the book and its contents.

Similar to programs to identify potential shoplifters…

https://verfassungsblog.de/gaza-artificial-intelligence-and-kill-lists/

Gaza, Artificial Intelligence, and Kill Lists

One of the greatest challenges in warfare is the identification of military targets. The Israeli army has developed an artificial intelligence-based system called “Lavender” that automates this process by sifting enormous amounts of surveillance data and identifying possible Hamas or Islamic Jihad (PIJ) fighters based on patterns in that data. This approach promises faster and more accurate targeting; however, human rights organizations such as Human Rights Watch (HRW) and the International Committee of the Red Cross (ICRC) have warned of deficits in responsibility for violations of International Humanitarian Law (IHL) arguing that with these semi- or even fully automated systems, human officers experience a certain “routinization” which reduces “the necessity of decision making” and masks the life-and-death significance of the decision. Moreover, military commanders who bear the onus of responsibility for faulty targeting (IHL-breaches) may not have the capacity anymore to supervise the algorithmic “black box” advising them.

In the following, we will examine these concerns and show how responsibility for violations of IHL remains attributable to a state that uses automated or semi-automated systems in warfare. In doing so, we will demonstrate that even though the new technological possibilities present certain challenges, existing IHL is well equipped to deal with them.

“Where were you on the night of May 25” now becomes a question for the police AI.

https://www.researchsquare.com/article/rs-4343562/v1

Advancing Law Enforcement Through AI: A proposal for District-Level Person and Vehicle tracking

This paper introduces a proposal for Advancing Law Enforcement Through AI: A Proposal for District-level Person and Vehicle Tracking. The proposal outlines the development of a sophisticated District-level Person and Vehicle Tracking System, powered by artificial intelligence(AI) technologies. The system aims to bolster law enforcement capabilities by enabling real-time tracking and notifications for individuals and vehicles of interest within designated districts. Leveraging advanced AI algorithms, including facial recognition and number plate detection, the proposed system offers a comprehensive solution to the challenges faced by law enforcement agencies in monitoring and apprehending suspects. The proof of concept demonstrates the technical feasibility of district-level tracking, showcasing synchronized sightings and generating detailed maps of locations. By addressing privacy concerns and implementing rigorous protocols, the proposed system represents a significant advancement in law enforcement practices, with the potential to revolutionize public safety management at the district level.

Toward personhood.

https://www.elgaronline.com/edcollchap/book/9781803924816/book-part-9781803924816-18.xml

Chapter 14: Digital owners in property law

The chapter focuses on how modern technologies challenge the concept of ownership in property law. The authors explore the implications of decentralised ownership models, such as those used by Decentralized Autonomous Organizations (DAOs), and the potential for AI systems to hold property rights. The article provides a detailed analysis of how property law systems might adapt to these emerging challenges. It considers the possibility of AI systems owning property independently, akin to corporations' current activities. The authors also discuss the ethical and practical implications of AI ownership, including the need for legal frameworks to address liability issues and the limitations of AI in comparison to human cognitive and physical abilities. The authors suggest that the legal concept of ownership, particularly in property law, must evolve to accommodate the unique characteristics and capabilities of AI systems and blockchain technologies. This evolution, they argue, is crucial for the law to remain relevant and effective in the 21st century.