The 4M's concept for a successful Workplace AI Strategy

???Banning ChatGPT doesn’t solve any issue in the workplace. Instead, Companies urgently need to develop a Workplace AI strategy. Four M’s - Multiplier, Magic, Mistakes, And Mayhem - help frame the Workplace AI strategy and helps HR and Business leaders think through how AI impacts the workforce, according to a new interesting interesting research published by Forrester . While employees are optimistic about how AI and generative AI, in particular will affect their work, feelings vary considerably by seniority and by country, according to another new interesting research published by 波士顿谘询公司 using data from 12,898 employees from executive suite leaders to middle managers and frontline employees in 18 countries.

?Leaders use more Generative AI than employees

Researchers also discovered that 80% of leaders say that they use generative AI regularly but only 20% of frontline employees say that they do so.

?? This disparity in AI usage between leaders and frontline employees likely contributes to the vastly different levels of optimism they expressed.

?Optimism about AI is rising, and concern is falling

Researchers found that among the top 5 feelings about the impact of AI on work in 2023 and 2018, curiosity and optimism increase, but worry decreases significantly.

?The new concept of 4M's of workplace AI

Another interesting research from Forrester highlights a concept of 4M's of workplace AI :

??Multiplier: AI generates massive scale improvements measured by orders of magnitude.

Researchers believed that creating personalized communications for customers at scale becomes feasible using large language models (LLMs) and generative pretrained transformers (GPTs), changing how marketers develop their campaigns. There are similar opportunities lying in wait across your business, problems to which you can apply the multiplier effect of AI to solve.

??Magic: AI shocks employees with its insights and performance compared with human labor.

Millions of everyday users have experienced its seemingly magical ability to answer questions. So savvy are generative AI LLMs that they can hold multiturn conversations (keeping the context of the topic in mind); these capabilities open up the possibility of?individual GPT tutors?that can personalize learning in real time based on the conversation that they have with one of your employees. This magic aids workforce adoption: Employees are eager to try it out.

?? Mistakes: AI causes real harm to customers and processes when used without humans in the loop.

Enterprise leaders who we talk to are keeping in mind AI’s potential to make mistakes some of which are deeply troubling. Absent human intervention, AI can make harmful decisions, like?granting?a husband a 20 times higher credit limit than his wife … even though she had a higher credit score and income, apparently due to algorithmic gender discrimination. Think about how your customers might react to similar errors.

??Mayhem: AI goes outside of its training to generate hallucinations

Researchers warn about the technology’s proclivity to generate “coherent nonsense.” It can “hallucinate,” spitting out content that is nonsensical or unfaithful to its training data. The resulting mayhem will make your risk managers’ hair stand on end.

??Finally BCG researchers made 3 recommendations for Leaders to succeed their AI Strategy:

1?? Ensure that there are spaces for responsible experimentation?

2?? Invest in regular upskilling

3??Prioritize building a responsible AI program

Forrester researchers conclude that successfully applying the four M’s requires a human-centered strategy. The AI workforce strategy requires lots of?human?participation. That’s because every AI deployment sits atop human foundations, without which you can’t appropriately harness its power. These human foundations include a series of skills, inclinations, beliefs, norms, and structures.

Thank you?? 波士顿谘询公司 and Forrester researchers team for these insightful findings: Vinciane Beauchene ,? Nicolas de Bellefonds ,? Sylvain Duranton Steve Mills J. P. Gownder

Dave Ulrich George Kemish LLM MCMI MIC MIoL

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