KPMG Global Study Confirms Trusting AI Remains a Major Confidence Gap
A recent KPMG global study confirms that trusting Artificial Intelligence (AI) remains a major confidence gap. The survey of over 1,000 business leaders from around the world found that only one in five respondents had complete trust in AI to make decisions on their behalf. This lack of trust is preventing organizations from fully leveraging the power of AI and its potential to drive innovation and growth.
The findings are concerning as businesses increasingly rely on technology for decision-making, especially when it comes to customer experience, operations, and product development. With more data being generated than ever before, companies need to be able to trust the accuracy of their algorithms if they want to stay competitive in today’s digital economy.
The survey revealed that while most executives understand the importance of using AI for strategic decision-making, many remain hesitant due to concerns about bias or inaccuracy in results. In addition, there is still a general lack of understanding among executives about how exactly AI works and what it can do for them – leading some respondents to express doubts about whether they could really benefit from implementing an AI system at all.
However, despite these reservations about trusting AI systems with important decisions, there were also signs that attitudes towards this technology are beginning to shift positively: nearly half (47%) said they would be willing to try out new technologies such as machine learning or natural language processing if given the opportunity; while almost two thirds (63%) agreed that investing in advanced analytics capabilities was essential for staying ahead of competitors.
This suggests that although there may still be some trepidation surrounding trusting machines with critical tasks like making decisions or predicting outcomes accurately – businesses are starting recognize both the potential benefits and necessity of doing so going forward into 2021 and beyond. As such organizations should look into ways they can build greater levels of trust between humans and machines by educating employees on how best use these tools effectively within their organization’s processes -and ensuring any algorithms used have been properly tested against bias before implementation .
Overall ,the KPMG global study has highlighted just how much work needs done when it comes building up confidence levels amongst business leaders regarding utilizing Artificial Intelligence solutions . While progress has been made ,there is still much room improvement when it comes convincing those who remain skeptical about relying upon automated systems . It will take time but through education ,testing ,and collaboration between human workers & machines we can bridge this gap together .