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AI

27 December, 2023

AI opportunity and risk

The ease of adoption of Artificial Intelligence (AI) and its capability to distil information, render it in a coherent format, and discern underlying patterns is advancing rapidly.

Managing and maximising AI’s potential to improve work does, however, pivot on our human capacity to formulate the right queries, shoulder responsibility for the information obtained, and establish a vision for AI augmentation and associated robust safeguards.

Managing AI capability is not about supersizing our work. Instead, it invites us to re-imagine our work to adopt a more comprehensive perspective on issues and confront more complex challenges. Additionally, it lays the groundwork for mitigating the biases within human systems. It also catalyses the opportunity to create the capacity and capability in organisations to be better and more inclusive of diverse needs and solutions.

AI has an array of potential applications within our organisations. For instance, it can alleviate managerial administrative burdens, freeing time for more meaningful team engagement. AI can also enrich organisational functions and processes such as the talent lifecycle—from orchestrating organisational scenarios for workforce planning and crafting nuanced communications for candidate attraction, onboarding, and career development to simplifying data collection for performance reviews and aiding in analysing the effectiveness of incentive and reward systems.

To unlock AI’s potential, a collaborative ethos underscored by diverse skill sets is pivotal, along with aims focused on improving work and organisations’ effectiveness in satisfying diverse stakeholder needs and outcomes.

As AI augments knowledge-worker roles, the opportunity to transmute our work processes into more innovative and stakeholder-centric models is imminent. It can shift us toward solving the more complex systemic issues we grapple with. This shift necessitates uplifting knowledge worker skills to a more well-rounded education on complex systems and bias mitigation, along with adopting new business and organisational models that prioritise diverse stakeholder needs.

The journey towards a more innovative and inclusive human-AI collaborative environment hinges on the questions we pose when adopting AI and how we uplift our leaders to lead and make the most of the opportunity whilst managing the risks.

Further reading