Artificial Intelligence Basics for Talent Professionals
Right now we can use AI to automate work that is rule-based and repetitive, and free up human intelligence to do work that is more important, impactful, and meaningful. Source: swooptalent.com
Right now we can use AI to automate work that is rule-based and repetitive, and free up human intelligence to do work that is more important, impactful, and meaningful. Source: swooptalent.com
Artificial intelligence can result in “artificial stupidity” if poorly designed, implemented or adapted to human users. Source: deloitte.com
Fifty percent of candidates receive no communication after they apply for a role. Algorithms can help automate and personalise candidate engagement. Source: edgenetworks.in
Machines like Applicant Tracking Systems aren’t inherently biased, but can be trained by humans to either perpetuate or prevent discrimination. Source: tlnt.com
Machine learning is being used by HR analytics company Attuned.ai to predict employee turnover with 80% accuracy. Source: Inc.com
Researchers from the University of Valladolid have created a computer model based on neural networks which provides in which Spanish provinces cases of corruption can appear with greater probability. Source: agenciasinc.es
British institution sets out the principles of good work and recommends the intro of an AI-based curriculum in schools and ethics training for machine learning developers. Source: Future of Work Commission
Imagine you had a robot butler or maid to do all your dirty, repetitive chores, freeing you up to do more of what you love. That’s exactly what recruiting chatbots promise to be for recruiters. Source:business.linkedin.com
Infographic showing the technology used for building custom chatbots that can intelligently assist HR and employees. Source: blog.harbinger-systems.com
AI offers a range of benefits and applications in HR, including sentiment and data analysis, smart assistance and resume parsing. Source: synergy-cmc.com