Algorithms, human decision-making and predictive policing
- Computer Science
Attaining Security Through Algorithms: Perspectives of Refugees and Data Experts
- Computer Science
The study provides insights on two groups of people who are engaged with algorithms in different ways: refugees and DXs, which represent a group that takes an active role in decisions about who is at risk and who is risky.
COPKIT: Technology and Knowledge for Early Warning/Early Action-Led Policing in Fighting Organised Crime and Terrorism
- Political ScienceSecurity Informatics and Law Enforcement
Intelligence-led policing methods and supporting analysis tools represent the state-of-the-art approach in analysing, investigating, mitigating and preventing crime. This chapter examines the…
The accuracy of crime statistics: assessing the impact of police data bias on geographic crime analysis
Police-recorded crimes are used by police forces to document community differences in crime and design spatially targeted strategies. Nevertheless, crimes known to police are affected by selection…
Exploring the use of Zcash cryptocurrency for illicit or criminal purposes
To help inform public debate and decision making, RAND Europe explored the uses of cryptocurrencies for illicit or criminal purposes, focusing on Zcash. Commissioned by the Electric Coin Company, who…
Liable, but Not in Control? Ensuring Meaningful Human Agency in Automated Decision-Making Systems
- Political SciencePolicy & Internet
Automated decision making is becoming the norm across large parts of society, which raises interesting liability challenges when human control over technical systems becomes increasingly limited.…
Racism, responsibility and autonomy in HCI: Testing perceptions of an AI agent
- Psychology, LawComput. Hum. Behav.
THE MARKET FOR CRYPTOCURRENCY: HOW WILL IT EVOLVE?
- Computer ScienceGlobal Economy Journal
Although the market is still in the early stages, as it begins to mature, cryptocurrency may become more prominent, until it becomes the new status quo.
A Framework for More Effective Dark Web Marketplace Investigations
- Computer ScienceInf.
This research provides an analytical framework for automating Dark Web scraping and analysis with free tools found on the World Wide Web and clearly details why AppleScript was the most viable and efficient method for scraping Dark Web marketplaces.