Humans are in the driving seat, so get to decide the rules of the collaboration setting. However, as the arrangement evolves, machines may also start taking autonomous execution and restricts flexibility.
Overarching principles and design guidelines
- At all times, HR has to be aligned with business goals and organisational stated values. Talent is a key strategic asset, and its acquisition, growth, deployment for business goals is the core non-negotiable accountability.
- Building a positive work environment, with shred sense of equity and fairness to maximize productivity and satisfaction remains core.
- Accountability towards Legal, ethical, and policy compliance across geographies, especially in multi-sector environments, is non-negotiable.
- All decisions recommended by Machines (AI) should be explainable and may require human review — especially in critical or ethical contexts.
- There should be Intelligence-Led Decisioning ie decisions to be informed by predictive insights, prescriptive analytics, and scenario modeling provided by machines.
- Agent-Led Execution of the repetitive and logic-based tasks. There is openness to redefine the present processes, workflows and decision rights to make tasks amenable to agent led delivery.
- Continually strive towards hyper-personalisation, based on profile, experience, interest, intent, and opportunity capture
- High standards of Digital Ethics and Transparency supported by Clearly define data boundaries, model transparency, and ethical standards for use of employee data and AI-led decisions
- Modular & Platform-Based Architecture, allowing for easy integrations with other systems and introduce agents.
- Reimagination and experimentation approach supported by feedback loops to continue evolving and moving on the evolution trajectory
- Pace and realm of transition to accommodate employee's adaption challenges, keeping intact trust while managing negative associations like privacy concerns, algorithimic bias or over de-humanisation.
- There is always human escalation path available for any automated processes.
Translating these principles and guidelines into action would require setting up new institutional structures like joint ethics and governance committees and cross functional teams, enhanced role of CHRO, CDOs and other leaders.
Besides, this would require reimagining of the role of HR workforce as they share their work with machines going forward.
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