The increasing prevalence of Artificial Intelligence and Machine Learning technologies presents both opportunities and risks, emphasising the crucial role of human oversight in managing and governing these systems. Challenges such as biases, disinformation, and ethical concerns highlight the need for informed human intervention in deploying AI effectively.
The Role of Human Expertise in Governing AI and Machine Learning
October 3, 2023
Artificial Intelligence (AI) and Machine Learning (ML) have taken center stage, especially with the advent of generative AI. Business and government functions now routinely use these technologies, presenting both opportunities and risks.
The government sector, characterized by its risk-averse nature, faces specific challenges in AI adoption. Despite the potential for increased productivity, there are inherent risks such as biases, disinformation, and ethical concerns that need vigilant management.
AI’s limitations became evident when Amazon’s automated recruitment system displayed gender bias due to the data it was trained on. Such examples underscore the importance of not just the technology but the human oversight in deploying and utilizing these systems.
One significant issue is the spread of misinformation, particularly amplified by AI/ML systems on social media platforms. These platforms optimize user engagement often at the cost of spreading disinformation, as seen during the COVID-19 pandemic.
To mitigate these risks, comprehensive governance, transparent policies, and representative data are crucial. Efforts should focus on developing AI systems that prioritize human well-being and societal values.
Ultimately, the successful implementation of AI in any sector heavily depends on responsible and informed human intervention, emphasizing the need to select the right individuals who can manage and govern the technology effectively.
