首页|Adelaide Institute of Higher Education Reports Findings in Artificial Intelligence [eXplainable Artificial Intelligence (XAI) for improving organisational regility]
Adelaide Institute of Higher Education Reports Findings in Artificial Intelligence [eXplainable Artificial Intelligence (XAI) for improving organisational regility]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Adelaide, Austr alia, by NewsRx editors, research stated, “Since the pandemic started,organisat ions have been actively seeking ways to improve their organisational agility and resilience (regility)and turn to Artificial Intelligence (AI) to gain a deeper understanding and further enhance their agility andregility. Organisations are turning to AI as a critical enabler to achieve these goals.”Our news journalists obtained a quote from the research from the Adelaide Instit ute of Higher Education,“AI empowers organisations by analysing large data sets quickly and accurately, enabling fasterdecision-making and building agility an d resilience. This strategic use of AI gives businesses a competitiveadvantage and allows them to adapt to rapidly changing environments. Failure to prioritise agility andresponsiveness can result in increased costs, missed opportunities, competition and reputational damage,and ultimately, loss of customers, revenue , profitability, and market share. Prioritising can be achieved byutilising eXp lainable Artificial Intelligence (XAI) techniques, illuminating how AI models ma ke decisionsand making them transparent, interpretable, and understandable. Bas ed on previous research on using AIto predict organisational agility, this stud y focuses on integrating XAI techniques, such as Shapley AdditiveExplanations ( SHAP), in organisational agility and resilience. By identifying the importance o f different features that affect organisational agility prediction, this study a ims to demystify the decision-makingprocesses of the prediction model using XAI . This is essential for the ethical deployment of AI, fosteringtrust and transp arency in these systems.”
AdelaideAustraliaAustralia and New ZealandArtificial IntelligenceEmerging TechnologiesMachine Learning
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