The question of whether emerging technology should be regulated is a complex and nuanced one. The answer depends on various factors, including the specific technology in question, its potential benefits and risks, and the broader societal context. This interesting information came to us from Governing in their article, “How Should Government Regulate Emerging Technology?”

There are many things to consider when regulating emerging technologies. For example, developments in artificial intelligence (AI) raise concerns about autonomous weapons, algorithmic bias, and privacy invasion. In such cases, regulation may be necessary to ensure that these technologies are developed and used responsibly, with proper safeguards and accountability measures.

Ultimately, the decision to regulate emerging technologies should be based on careful analysis of their potential impact, considering both short-term and long-term consequences. It is important to involve various stakeholders, including scientists, policymakers, industry representatives, and the public, in the regulatory process to ensure balanced and informed decision-making.

Lastly, understanding is key. Most organizations have little knowledge regarding how AI systems make decisions, and they are therefore unequipped to understand AI and machine learning results. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms.

Data Harmony is a fully customizable suite of software products designed to maximize precise and efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine aided indexing, database management, information retrieval, and explainable AI.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

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