One of the more otherworldly AI applications is enabling people to become invisible. Despite the improbability, recent evidence suggests that the world may not be that far away from unlocking actual stealth mode. If you think about it, invisibility will have several applications if it ever becomes a reality. For one, law enforcement officials will be able to sneak up on suspected to-be criminals before they can victimize someone. The world of espionage will become murkier and even more interesting than it is today.

While AI is making a big impact in pretty much every business area, it is also important to note some of the ways it is helping to save our planet. Conservationists are increasingly turning to AI as an innovative solution to overcome various biodiversity crises. It helps protect a diverse set of species and assists law enforcement agents who are often short-staffed, and it is almost impossible for them to cover a vast stretch of land, such as a national park. This is one of the reasons why AI is so useful because it can take a lot of the time-consuming work off the shoulders of human workers, such as constantly monitoring surveillance data. In this article, we will talk about some of the interesting ways AI is being used to protect endangered species and the data annotation that is required to create it.

Jenna Butler is an adjunct professor at Bellevue College, Bellevue, WA, in the radiation therapy department and is a senior applied research scientist at Microsoft Research, Redmond, WA, USA. Catherine Yeh is a senior at Williams College, Williamson, MA, USA, where she studies computer science and cognitive science.

Are workers indeed quiet quitting, and if so, where does AI fit into this rising trend? You have almost certainly heard about or seen news reports exclaiming that quiet quitting is here and amongst us all. Yes, indeed, quiet quitting is experiencing its banner headline pronouncements during a seemingly pronounced fifteen minutes of fame. Will the spotlight last longer than a short-lived fad? Will it have endurance and become part of our permanent lexicon? Lots of vital questions abound. I am going to unpack the quiet quitting phenomenon and see what makes the whole matter so notably significant right now. On top of that, I'll introduce a facet that I'm betting most have not realized is getting dragged into the quiet quitting mania. Make sure you are sitting down. The latest dovetailing consideration involves the inclusion of Artificial Intelligence (AI) into the quiet quitting arena. AI is being added to the quiet quitting bandwagon, though not everyone is especially pleased with having AI become inexorably entangled therein. This abundantly raises all sorts of AI Ethics concerns. We will examine how quiet quitting and Ethical AI are going to be at times partners and at other times foes. For my overall ongoing and extensive coverage of AI Ethics and Ethical AI, see the link here and the link here, just to name a few.

Increasingly, automation, machine learning and AI are becoming part of our workplace furniture. What does this mean for accountability, both in terms of regulation and legal liability? As the world of work modernises, how is the law adapting? Michael Newman and Tom Hewitt, discrimination lawyers at Leigh Day, will cover areas including recruitment, dismissal and redundancies, monitoring and work allocation.

Abakar Saidov is co-founder and CEO of Beamery, a leader in talent lifecycle management. In the wake of the "Great Reshuffle," companies continue to reevaluate their approach to recruitment and retention. In order to drive efficiency and remain effective at scale, business leaders are increasingly turning to new technologies for support. One of the most valuable technologies supporting talent management strategies today is artificial intelligence (AI). It has the potential to revolutionize the way in which businesses interact with the wider talent landscape, helping HR teams and recruiters fill much-needed positions and identify the skill sets in most demand.

Without a body to show in the 1996 San Luis Obispo cold case, the prosecution concluded its presentation in the Kristin Smart murder trial with a sexually explicit screenshot of another woman with a red ball gag in her mouth on the accused killer Paul Flores' San Pedro bed. The image came from Paul Flores' computer, experts testified. Judge Jennifer O'Keefe on Tuesday instructed Monterey County jurors that it was only to be considered as corroborating evidence to a single detail from the testimonies of two women who told the panel they were raped by Flores and that he owned a red ball gag. One warm Friday night in late spring 10 years ago, Kristin Denise Smart and three other young women started walking from their dorms at Cal Poly San Luis Obispo. Jurors had already heard those women testify that the man last seen walking with Kristin Smart on the Cal Poly San Luis Obispo campus on May 25, 1996, before she vanished, sexually assaulted them in Los Angeles separately in 2008 and 2011.

Rapid advancements in AI require keeping high ethical standards, as much for legal reasons as moral. During a session at this year's AI & Big Data Expo Europe, a panel of experts provided their views on what businesses need to consider before deploying artificial intelligence. The first question called for thoughts about current and upcoming regulations that affect AI deployments. As a lawyer, De Boel kicked things off by giving her take. De Boel highlights the EU's upcoming AI Act which builds upon the foundations of similar legislation such as GDPR but extends it for artificial intelligence.

Artificial intelligence has progressed to the point where machines are capable of performing tasks that people once thought could only be done by humans. This rise in the power of AI highlights the importance of ethics in AI – we must use this powerful technology in responsible ways. For example, modern artificial intelligence is capable of understanding and creating art, carrying on intelligent conversations, identifying objects by sight, learning from past experience, and making autonomous decisions. Organizations have deployed AI to accomplish a wide range of tasks. AI creates personalized recommendations for online shoppers, determines the content social media users see, makes health care decisions, determines which applicants to hire, drives vehicles, recognizes faces, and much more.

But the requirement has posed some compliance challenges. Unlike familiar financial audits, refined over decades of accounting experience, the AI audit process is new and without clearly established guidelines. Our Morning Risk Report features insights and news on governance, risk and compliance. "There is a major concern, which is it's not clear exactly what constitutes an AI audit," said Andrew Burt, managing partner at AI-focused law firm BNH. "If you are an organization that's using some type of these tools…it can be pretty confusing."