Responsible Generative AI
3.3 HOW THE DISRUPTION CAN BE MANAGED
The pain of disruption can be minimized if the transition to new ways of working is gradual and controlled . There are three ways this can be accomplished :
1 . First , identify areas where the need for AI-driven automation is more necessary . Examples include providing one-to-one education , remote diagnoses where experts are not available locally , translation between languages that enable better communication , providing better accessibility for tools and technology .
2 . Second , keep the human in the loop in GenAI systems to the extent possible to avoid complete displacement as well as better supervision of the autonomic operation .
3 . Third , retrain the workforce and discover new professions and job opportunities . We have seen the transition of the workforce even recently , when telecom companies went completely digital , and eCommerce companies employed better paid employees than local brick and mortar shops . For example , new earning opportunities evolved when Uber and other ride-sharing companies disrupted the transportation industry .
There are several examples where new technology has led to improved productivity , accuracy , and speed . A doctor could serve more patients when some of the mundane HIPAA documentation can be handled autonomously by GenAI applications .
The newly introduced service “ ScribeGPT ” by Amazon is a good example . Lawyers and doctors who depend on a lot of precedent cases can now get historical information much faster . Instant translation between languages reduces the need to produce documentation such as user manuals in several languages . Teachers can focus on more student interactions and instruction delivery than preparing class notes , finding examples , etc . All these are scenarios where the GenAI systems can enable workers to focus on their much-demanded professional skills rather than administrative and routine tasks .
3.4 RESPONSIBLE USE CASE SCENARIOS
Technological advances cannot be ignored , or capabilities discarded just because of the risks and fear it brings along with them . It is up to the wider community of stakeholders – technologists , businesses , political leaders , social scientists , and other professionals – to collectively think and devise ways in which the power of this technology can be channeled for better use of humanity and nature . We can easily pinpoint several good use cases where the disruption to labor can be minimized . These include using GenAI to :
• Create different lesson plans as appropriate to the comprehension level of students .
• Facilitate individualized tutoring – a dream of educationists .
• Discover and conduct experimental tests ( simulation ) of new drugs .
• Understand intelligent diagnoses and prognoses of disease conditions .
26 March 2024