Ignoring the human element can lead to employees, customers, and stakeholders being distrustful of AI systems and their outputs, thereby effecting adoption and uptake. Conversely, without adequate safeguards, people can over-trust AI outputs, neglecting to critically evaluate information provided, which can result in misguided decisions and potential harm.

Human input is crucial to ensure ethical AI design, development and deployment, as it provides the necessary oversight, values, and contextual understanding that algorithms alone cannot. Organisations that fail to factor in ethical considerations risk privacy violations, misuse of personal data, wellbeing issues, and/or unintended consequences for individuals or society.

Organisations take various measure to ensure that their human workforce is trustworthy, reliable and dependable; the same considerations should apply when considering introducing AI into a business. Implementing AI in business processes can inadvertently amplify insider threats, as automated systems may unknowingly execute malicious actions or be exploited by insiders with access. AI's reliance on large datasets also increases the risk of data breaches, highlighting the need for robust security measures and continuous monitoring to mitigate these risks effectively.

Human input is essential in AI design, development, and monitoring to avoid bias and discrimination, ensuring that the technology serves diverse populations fairly and ethically. AI systems can perpetuate biases present in the data they are trained on, leading to discriminatory outcomes if not carefully designed, developed, monitored and managed by humans.

Failure to involve humans in AI design, development and implementation processes can result in resistance to change among employees, hindering adoption and integration into existing workflows and organisational culture.

Neglecting human factors may result in AI interfaces or applications that are difficult to use, frustrating, or alienating for users, leading to low adoption rates and suboptimal outcomes.

Human input is vital to identify where AI is most needed, as it helps pinpoint critical areas where technology can make a significant impact. Additionally, human insight is crucial for spotting opportunities for innovative use, ensuring that AI solutions are both relevant and transformative.