Law enforcement can harness AI's capabilities responsibly and effectively by addressing challenges like bias mitigation, privacy protection, and transparency. This research highlights the importance of integrating AI to augment human judgment, not replace it, and emphasizes community engageme...
Since Kennedy started the company in 2014, she's brokered partnerships with law enforcement officials around the country, prosecutors' offices, and a few nonprofits (she's careful with who Marinus partners with, because she realizes the software is powerful and could be abused in the wrong hands...
And, while lawyers are increasinglyharnessing artificial intelligence (AI)to help them work more efficiently,cybercriminals are also using AIto augment the scale, power, and creation ofcybercrimethreats like AI-assisted hacking, password cracking, and ransomware attacks. So how do you mitigate your f...
This is the first formal ethics opinion on generative AI from ABA, giving law firms a guidelines of how to use the technology effectively and ethically. This takes into consideration the protection of both law firm and client when using AI, preventing any misconduct and potential risk that come...
for using AI applications, plus an additional category for general-purpose AI. The AI Act applies mainly to one of the categories—the high-risk AI systems. These are AI applications used in critical areas like healthcare, education, banking, insurance, law enforcement, and other public ...
Using AI consistently with the law The EEOC’s Guidance is not law, and some of the positions advanced are debatable. Still, the document reflects the EEOC’s views on enforcement, so employers should take stock of any AI tools used in employment decision-making and consider assessing their ...
This article deals with the topic of data quality in the context of big data and AI applications for law enforcement. It starts by outlining selected issues relating to big data; the first subsection sketches the overall technical problem of data quality, which big data amplifies; and the secon...
O’Neil raised concerns about the discriminatory impact of algorithms against certain groups in areas such as hiring, lending and law enforcement [50]. In like manner, Eubanks outlined the impact of AI applications in three areas of public service in the US, relating to welfare, homelessness an...
Identify speeding and collision hotspots for proactive enforcement Empowering police, sheriffs, and highway patrols with proactive traffic enforcement case management tools. Public Safety → Public Works Eliminate the backlog of traffic calming requests and complaints ...
它们主要局限于预定义的计算域内,虽然能执行算法、优化参数和分析数据,但缺乏全面的「计算机使用能力」(computer-using proficiencies)。人类研究者能够流畅地在各种计算环境间切换,而当前的AI系统无法复制这种通用性。它们在导航复杂的科学文献库时显得力不从心,难以应对各种异构接口、认证要求和组织结构。