Page 20 - AI for Good - Impact Report

AI for Good

and flexibility are crucial, as roles and tasks are likely to change rapidly with AI advancements.
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However, many organizations currently do not provide adequate AI-related skills training,
despite the shrinking half-life of skills. Workers need strategies to practice adapting to a range
of possible futures, building organizational resilience and improving worker well-being and
mental health. Organizations must invest in upskilling initiatives and create environments that
promote continuous learning and experimentation to prepare workers for the future. 80

Janine Berg, Senior Economist at the ILO, emphasizes the importance of social dialogue
between employers, workers, and their representatives regarding the potential impact of
technology, including AI, on the workplace and the labor market. This dialogue is crucial for
developing qualification programs to train workers for new career opportunities. Creating
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relationships with workers based on trust, transparency, and sharing benefits broadly across the
enterprise and beyond will also help to pave the way to a quantified organization. A quantified
organization takes a strategic approach to measuring what it should, not just what it can. It takes
a responsible approach to using new data sources and AI tools to create value for stakeholders
across the organization, improving workforce trust and driving the organization forward to new
levels of financial, reputational, and operational performance. 82

AI and GenAI trends from industry adoption and regional differences, to the barriers of wider
adoption and the impact on the workforce are complemented by rising activities within the
regulatory and governance landscape. The next chapter will cover AI policies and strategies
globally, regionally, and nationally.

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