Business process compliance is a key area of business process management and aims at ensuring that processes obey to compliance constraints such as regulatory constraints or business rules imposed on them. Process compliance can be checked during process design time based on verification of process models and at runtime based on monitoring the compliance states of running process instances. For existing compliance monitoring approaches it remains unclear whether and how compliance violations can be predicted, although predictions are crucial in order to prepare and take countermeasures in time. This work, hence, analyzes existing literature from compliance monitoring as well as predictive process monitoring and provides an updated framework of compliance monitoring functionalities. Moreover, it raises the vision of a comprehensive predictive compliance monitoring system that integrates existing predicate prediction approaches with the idea of employing PPM with different prediction goals such as next activity or remaining time for prediction and subsequent mapping of the prediction results onto the given set of compliance constraints (PCM). For each compliance monitoring functionality we elicit PCM system requirements and assess their coverage by existing approaches. Based on the assessment, open challenges and research directions realizing a comprehensive PCM system are elaborated.

Extreme multi-label text classification utilizes the label hierarchy to partition extreme labels into multiple label groups, turning the task into simple multi-group multi-label classification tasks. Current research encodes labels as a vector with fixed length which needs establish multiple classifiers for different label groups. The problem is how to build only one classifier without sacrificing the label relationship in the hierarchy. This paper adopts the multi-answer questioning task for extreme multi-label classification. This paper also proposes an auxiliary classification evaluation metric. This study adopts the proposed method and the evaluation metric to the legal domain. The utilization of legal Berts and the study on task distribution are discussed. The experiment results show that the proposed hierarchy and multi-answer questioning task can do extreme multi-label classification for EURLEX dataset. And in minor/fine-tuning the multi-label classification task, the domain adapted BERT models could not show apparent advantages in this experiment. The method is also theoretically applicable to zero-shot learning.

Nearly half of white-collar professionals have tried using ChatGPT to help with their work, according to a recent survey of more than 10,000 people at blue chips such as Google, JP Morgan and McKinsey. That's staggering, considering the AI chatbot was only released to the public in November. It's potentially very exciting for the future of work, but it also brings serious risks. ChatGPT and other imminent rivals are part of a long history of technologies geared to reducing the labour of writing. AI chatbots can help overcome human limitations, including speed, foreign languages and writer's block – potentially helping with everything from writing emails to reports and articles to marketing campaigns.

The below is a summary of an article about Sustainable AI. As Artificial Intelligence (AI) technology advances and transforms industries, developing and deploying sustainable and environmentally responsible AI is becoming increasingly important. Sustainable AI holds great promise for reducing energy consumption and optimising resource use. However, it can also have unintended consequences that need careful consideration. The carbon footprint of AI is significant, and efforts to address its environmental impact are necessary.

The older I get, the more I appreciate Jeff Spicoli's exegesis of the Revolutionary War and the Founders' motivations for the Declaration of Independence and the RW. For those Loyal Readers who may have missed this cinematic diamond-in-the-rough: Toward the end of "Fast Times at Ridgemont High" (1982), the infamous History teacher at RH, Mr. Hand, travels to Spicoli's house and bedroom to administer an in-person verbal exam, mostly so Spicoli won't be held back to spend another year in Mr. Hand's classroom "on our Time." Look at the bright side: once ChatGPT improves a little, HR departments and editors everywhere will be able to look at Scott Adams' body of work and his recent podcast statements, determine that he is a racist, and prevent him from ever being hired to draw a cartoon again. The people making the decision may not know anything whatsoever about Scott Adams, Racism, or Cartoons, but they will believe what ChatGPT says, because it is displayed on a monitor connected to a computer connected to the Internet connected to a superior form of intelligence, so it must be correct. It also saves time and money they might have otherwise spent doing their own research to reach a conclusion.

Whether these new AI technologies are ready for prime time remains a wide-open question. Even assuming these early bugs are worked out, a host of thorny business and legal challenges remain, as we've been writing about. Whether these new AI technologies are ready for prime time remains a wide-open question. Even assuming these early bugs are worked out, a host of thorny business and legal challenges remain, as we've been writing about.

We are slowly seeing the emerging trend of organisations considering the use of generative technologies across all areas of business. Collectively known as'generative AI', these technologies (such as the popular Chat-GPT and Dall-E) are capable of taking a prompt from its user and creating entirely new content, such as blog posts, letters to clients, or internal policies. In a previous article, we examined several points that organisations should consider, such as potential for IP infringement and inadvertent PR issues. The article goes on to consider several steps organisations can take to mitigate these risks throughout the process, such as regular testing and ensuring appropriate safeguards are put in place. As will be clear for those who have already interacted with these technologies, while there is certainly value in implementing them within certain processes, these safeguards are clearly a necessary step to ensure that the AI is behaving accurately and, in the case of written works, in a way that is not misleading.

Maryland is a unique place to debate face recognition regulation, says Andrew Northrup, an attorney in the forensics division of the Maryland Office of the Public Defender. He calls Baltimore "a petri dish for surveillance technology," because the city spends more money per capita on police among 72 major cities in the US, according to a 2021 analysis by the nonprofit Vera Institute of Justice, and has a long history of surveillance technology in policing. The use of invasive surveillance technology including face recognition in Baltimore during protests following the 2015 death of Freddie Gray led former House Oversight and Reform Committee chair Elijah Cummings to interrogate the issue in Congress. And in 2021, the Baltimore City Council voted to place a one-year moratorium on face recognition use by public and private actors, but not police, that expired in December. Northrup spoke in favor of the bill and its requirement for proficiency testing at the same House of Delegates Judiciary Committee hearing addressed by Carronne Sawyer this month.

Ford is not taking any chances with owners missing car payments - the company is working on a system that prompts the vehicle to repossess itself. A newly awarded patent describes a car self-driving back to the showroom or a scrapyard if the owner does not answer messages about their delinquent account. The American carmaker would start the process by disabling'comfort features,' playing noises inside the car and limiting where the vehicle can drive. If all else fails, Ford will activate the self-driving feature and the owner has no choice but to give up the car. While patent applications do not always turn into real-world services, Ford describes using a'repossession computer' that could be installed to let it take control of functions.

I recently took a look at ChatGPT and how it deals with charity law questions. Sometimes it did a good job, and other times, it failed miserably. For example, I asked ChatGPT, "How to explain charity law to a kid." Charity law is a set of rules that govern how organizations that help others, called charities, can operate. These laws help make sure that charities use their resources, such as money and property, in the best way to help people in need.