Wednesday 29 November 2023

New forms of work roles will require humans to collaborate
with AI and intelligent machines.

Missing middle skills for Human-AI collaboration

LONDON, November 15, 2018

As companies rapidly adopt Artificial Intelligence (AI) and related technologies, some job roles will be done exclusively by humans while others will be taken on by intelligent automation.

But most emerging roles will be fulfilled by people and machines working together in the dynamic space called “the missing middle” by a global management consulting and professional services firm Accenture.

These roles will require people to apply higher level human skills. Accenture’s analysis of how skills have evolved in the 12 years to 2016 shows that more than half of jobs in the US need more high-level creativity, 47 percent require more complex reasoning and 36 percent need more socio-emotional skills.

Accenture has undertaken extensive analysis of academic research exploring approaches to enhance human capital. It has identified the core high-level intelligences that will gain prominence in the age of human-machine collaboration, and that enable the application of these human skills.

The challenge is that, for many people, traditional forms of work have comprised routine and repetitive tasks. They have not necessarily required these high-level intelligences and skills. New forms of skills development and of lifelong learning are therefore urgently required:

•    61 per cent of activities in the missing middle require employees to do different things and to do things differently.

•    67 per cent of workers say they must develop their own skills to work with intelligent machines.

Three dimensions of skills development

Accenture proposes workers and their employers work together in three dimensions to accelerate the learning and application of essential human skills for the future of human and AI collaboration.

Mutual Readiness – Workers and employers must realize common aspirations in the new workplace.

•    Prepare for change – Implement a long‐term strategy and clearly communicate to employees well in advance.
•    Reimagine work – Start by assessing tasks needed, then map internal capabilities to these before developing new skills needed to bridge talent gaps.
•    Use AI to tap potential – AI algorithms can help identify hidden talents and transferrable skills, helping to make the most of existing talent.

Accelerated Ability – Provide workers with the latest resources to rapidly enhance human skills.

•    Use scientific methods – Such as neuroscience techniques to improve the effectiveness of learning, especially for more experienced workers.
•    Use smart technologies – Virtual reality (VR) and augmented reality (AR) can improve levels of immersion, enable people to experience real situations, and reduce the cost of training.
•    Teach each other – Encourage employees to foster new skills through peer-to-peer learning. This includes teaching, mentoring or helping to design learning materials.

Shared Value – Create a culture that values education and lifelong learning.

•    Create a sense of wellbeing about change – Give people time to adapt and prepare for new forms of work, recognizing individual needs.
•    Co-fund learning – Enable people to pursue their choice of skills development by subsidizing training programs with external stakeholders.
•    Encourage lifelong learning – Track performance outcomes and levels of engagement. Combine skills training with support to navigate new career pathways. – TradeArabia News Service

Tags: Artificial Intelligence | Accenture | Ai |

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