Emerging artificial intelligence (AI) technology has a pronounced impact on higher education, addressing existing challenges in educational settings such as larger school sizes and the scarcity of elite instructors. In all these areas, it has been noted th at AI has led to massive changes: some estimates suggest that at least 80 percent of workers will have the quantity and quality of at least some of their tasks influenced (for the better) by AI (Canagasuriam & Lukacik, 2024) . This means that, in educational contexts, psychological empowerment has been shown to mitigate the combined enullects of emotional exhaustion and depression, demonstrating that social relationships and leadership can bolster mental health in institutions (Schermuly & Meyer, 2016) . However, this is not to say that AI is without dangers; cybercriminals have also turned to AI to bolster their attacks, for example, in the form of spear phishing or malware installation, showcasing how AI can be abused as a tool to harm enterprises (Mirsky et al., 2023) . Psychological empowerment -- comprising meaning, competence, self - determination, and impact -- has strong enullects on person - environment interactions, which ultimately influence how individuals feel about and perform their jobs (Gregory et al., 2010) .

Machine learning can enable positive change in society, says Adam Benzion, Chief Experience Officer at Edge Impulse. Read on to learn how the company is preventing unethical uses of its ML/AI development platform. Priscilla Haring-Kuipers: What Ethics in Electronics are you are working on? Adam Benzion: At Edge Impulse, we try to connect our work to doing good in the world as a core value to our culture and operating philosophy. Our founders, Zach Shelby and Jan Jongboom define this as "Machine learning can enable positive change in society, and we are dedicated to support applications for good."

Even though artificial intelligence can bring about a substantial positive impact in many areas of our lives, AI's inappropriate and unethical use has become a big concern in recent years. During my investigation of artificial intelligence in business and in societies in the last five years, I have been negatively surprised by the quantity of wrong and unethical usage of AI worldwide. Several big technology companies have been involved in scandals by allowing wrong and unethical use of data and artificial intelligence in their platforms. The most well-known is the Cambridge Analytica scandal. Facebook gave access to sensitive user data of 87 million user to consultant firm Cambridge Analytica which used AI algorithms to micro-target their political ads in the 2016 US elections.

One data vendor in this business is X-Mode, which collects data from millions of users across hundreds of apps. The company was kicked off the Apple and Google platforms last year over its national security work with the US government, according to an account in The Wall Street Journal. However, the company is being acquired by Digital Envoy, Inc. of Atlanta, and will be rebranded as Outlogic. It's chief executive, Joshua Anton, will join Digital Envoy as chief strategy officer. The purchase price was not disclosed.

How do clinicians set rules that allow professionals "to make good use of technology to find patterns in complex data" but also "stop companies from extracting unethical value from those data?" Geis, from the American College of Radiology (ACR) Data Science Institute, is one of the authors of a joint statement that addresses the potential for the unethical use of data, the bias inherent in datasets, and the limits of algorithmic learning, and was the moderator of a session on the topic at the Radiological Society of North America (RSNA) 2019 Annual Meeting in Chicago. There's a very big grey area between an absolute ethical approach to data use and decisions that are profit-driven, he told Medscape Medical News. "Sitting on the sainthood side, I can stick to doing only what I see as good for my patients, maybe even taking vows of poverty," he said. "On the extreme other side, I'm doing things that put me in prison."

Companies around the world are expecting to apply artificial intelligence (AI) within their organisations in the next few years but are lagging in discussions of the ethics around it, new research has found. More than half of the employers questioned in a multi-country opinion survey say their companies do not currently have a written policy on the ethical use of AI or bots, although 21% expressed a definite concern regarding their companies and a potential for the unethical use of AI. Nearly two-thirds (64%) of the employers surveyed expect their companies to be using AI or advanced automation by 2022 to support efficiency in operations, staffing, budgeting or performance, although only 25% are using it now. Yet in spite of this growing trend, 54% of employers questioned say they are not troubled that AI could be used unethically by their companies as a whole or by individual employees (52%). Employees appear more relaxed than their bosses, with only 17% expressing concern about their companies.

Artificial intelligence (AI) is disrupting every industry, and the recruitment market is no exception. By lowering the cost of prediction, AI offers cheaper, faster, more efficient ways to connect people to jobs, as well as the promise of unlocking human potential. This is a big opportunity. In a world where most people are unhappy with their careers and many organizations complain about their talent gaps - for example, a recent ManpowerGroup report noted that 40% of global companies are experiencing critical talent shortages, the highest figure in a decade - technology can help us bridge the gap between supply and demand and make the job market less inefficient, just like dating apps have managed in the market of love. However, as with any technological innovation it is important to understand the ethical implications of using AI for attracting and selecting employees.

Artificial intelligence (AI) is disrupting every industry, and the recruitment market is no exception. By lowering the cost of prediction, AI offers cheaper, faster, more efficient ways to connect people to jobs, as well as the promise of unlocking human potential. This is a big opportunity. In a world where most people are unhappy with their careers and many organizations complain about their talent gaps - for example, a recent ManpowerGroup report noted that 40% of global companies are experiencing critical talent shortages, the highest figure in a decade - technology can help us bridge the gap between supply and demand and make the job market less inefficient, just like dating apps have managed in the market of love. However, as with any technological innovation it is important to understand the ethical implications of using AI for attracting and selecting employees.

Artificial intelligence (AI) is disrupting every industry, and the recruitment market is no exception. By lowering the cost of prediction, AI offers cheaper, faster, more efficient ways to connect people to jobs, as well as the promise of unlocking human potential. This is a big opportunity. In a world where most people are unhappy with their careers and many organizations complain about their talent gaps - for example, a recent ManpowerGroup report noted that 40% of global companies are experiencing critical talent shortages, the highest figure in a decade - technology can help us bridge the gap between supply and demand and make the job market less inefficient, just like dating apps have managed in the market of love. However, as with any technological innovation it is important to understand the ethical implications of using AI for attracting and selecting employees. Even if AI can improve our ability to match people to the right jobs - and, if we are looking for the kind of evidence we have historically demanded from traditional hiring tools (i.e., peer-reviewed scientific journal articles), the jury is still out - we need to ensure that the use of AI in recruitment is ethical.