rtificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. As AI technology moves beyond automation to augmentation, companies may be looking at how AI tools can make the work of human resources (HR) better for employees and job seekers. It’s not just about saving time; it’s also about providing information, insights and recommendations in near real-time. And that’s just the start of AI in human resources.

support higher-quality outcomes. As AI technology moves beyond automation to augmentation, companies may be looking at how AI tools can make the work of human resources (HR) better for employees and job seekers. It’s not just about saving time; it’s also about providing information,

rtificial intelligence (AI) is more than just hype, according to Felicia Burgan, Chief Executive Officer of Solgard Industries. " It everything. It's a opportunity, " said. In near , AI will up collection, the of it to loan , and the process. " AI how organize company, " Burgan . "Managers start to think about using data in a far different way than they ever did before."

"AI" redirects here. For other uses, see AI (disambiguation), Artificial intelligence (disambiguation), and Intelligent agent.Part of a series onArtificial intelligenceshowMajor goalsshowApproachesshowApplicationsshowPhilosophyshowHistoryshowGlossaryvteArtificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems. It is a field of research in computer science that develops and studies methods and software which enable machines to perceive their environment and uses learning and intelligence to take actions that maximize their chances of achieving defined goals.[1] Such machines may be called AIs.AI technology is widely used throughout industry, government, and science. Some high-profile applications include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon, and Netflix); interacting via human speech (e.g., Google Assistant, Siri, and Alexa); autonomous vehicles (e.g., Waymo); generative and creative tools (e.g., ChatGPT and AI art); and superhuman play and analysis in strategy games (e.g., chess and Go).[2] However, many AI applications are not perceived as AI: "A lot of cutting edge AI has filtered into general applications, often without being called AI because once something becomes useful enough and common enough it's not labeled AI anymore."[3][4]Alan Turing was the first person to conduct substantial research in the field that he called machine intelligence.[5] Artificial intelligence was founded as an academic discipline in 1956.[6] The field went through multiple cycles of optimism,[7][8] followed by periods of disappointment and loss of funding, known as AI winter.[9][10] Funding and interest vastly increased after 2012 when deep learning surpassed all previous AI techniques,[11] and after 2017 with the transformer architecture.[12] This led to the AI boom of the early 2020s, with companies, universities, and laboratories overwhelmingly based in the United States pioneering significant advances in artificial intelligence.[13]The growing use of artificial intelligence in the 21st century is influencing a societal and economic shift towards increased automation, data-driven decision-making, and the integration of AI systems into various economic sectors and areas of life, impacting job markets, healthcare, government, industry, and education. This raises questions about the long-term effects, ethical implications, and risks of AI, prompting discussions about regulatory policies to ensure the safety and benefits of the technology.The various sub-fields of AI research are centered around particular goals and the use of particular tools. The traditional goals of AI research include reasoning, knowledge representation, planning, learning, natural language processing, perception, and support for robotics.[a] General intelligence—the ability to complete any task performable by a human on an at least equal level—is among the field's long-term goals.[14]To reach these goals, AI researchers have adapted and integrated a wide range of techniques, including search and mathematical optimization, formal logic, artificial neural networks, and methods based on statistics, operations research, and economics.[b] AI also draws upon psychology, linguistics, philosophy, neuroscience, and other fields.[15]

Which of the following is a strategic and analytic HR operation that is starting to benefit from the capabilities of automation?Selected answer will be automatically saved. For keyboard navigation, press up/down arrow keys to select an answer.aemployee benefitsborganizational chartscemployee payrolldrecruitment

The recruitment and selection of staff can be a resource–intensive undertaking. Employers might find the use of Artificial Intelligence (AI) technologies appealing because it could relieve them of some of the workload and speed up the recruitment and selection cycle. However, it also comes with risks and disadvantages. This essay question asks you to advise an organization that is debating whether to use AI in recruitment and selection.The organization is a large financial services firm that is growing rapidly and is looking to fill multiple vacancies for the role of business development manager.  To date the firm has been relying on an external recruitment agency to advertise and source candidates but this has not been successful.   The firm’s managers and HR professionals seem to spend time interviewing people the agency has shortlisted that do not fit with the company culture and are missing key attributes – either they have high level technical skills (in finance and accounting) or high interpersonal and networking skills, but rarely both.  Business development managers are in high demand, and they are often considering offers from multiple employers.This firm is also very conscious of its public reputation and wants to promote themselves as an ‘employer of choice’.  In addition, they want to increase the diversity of their current workforce by attracting applicants from a broader range of backgrounds.  Based in Melbourne, they would be interested in candidates from other cities and countries. They can offer competitive market salaries plus relocation costs and other assistance to help new employees settle in Melbourne as well as other benefits (such as childcare subsidies, generous leave provisions and a four–day working week). Essay question:Discuss the advantages and disadvantages of using AI in recruitment and selection that are relevant to this scenario.  If this firm were to decide to use AI, provide recommendations on how and when they should use it in the recruitment and selection process.Your answer should primarily draw on academic theory, research and evidence but you can also use other (non–academic) sources to illustrate key points.