Artificial intelligence (AI) is transforming our world in countless ways and a growing AI market and its reach across industries compounds the ethical concerns of AI usage. The AI market
, being used throughout nearly the entirety of human industries. Adaptation of AI programs to improve and enhance businesses can be found in everything from product creation to supply chain management. A growing AI market and its reach across industries further compounds the ethical concerns of AI usage. Its adoption and use is expected to increase in the coming years, with over
in some capacity.
Benefits do not outweigh risks
The global population has seen more and more introduction of AI into their lives in 2024 and 2025 than in the decade before. A major concern has been the balance, or the results of a simple dichotomy –
does AI do more good than harm. Global sentiment is that at current state AI is more negative than beneficial. The margin is slim, with many populous nations, such as China and India, trending more towards beneficial AI. The
major risk for enterprises is data privacy and security. AI programs continuously scrape data off the internet and make little distinction between data they should not have access to and open information.
Challenges are many and trust is frail
There are a significant number of challenges to integrating AI in enterprises. The
leading challenge is security threats. Poorly understood usage of AI or inexperienced implementation can lead to data leaks or security flaws in software. The lack of responsibility, i.e., who ultimately handles the AI, is also a concern. Trust is another point of contention, with lack of trust being the
most significant in AI use in human resources. Likely because judging human qualities is expected to be more than a sum of keywords on a document and something only another human can do.
AI makers must reduce errors and flaws to win more people over
The overall message when sorting through the data of the risks of AI is that it is still unreliable. Or perhaps more importantly – it feels unreliable to many individuals. Error rates among AI have been dropping significantly but with the growth in AI usage it is imperative that these issues be addressed and taken seriously to reduce the problems facing AI implementation globally.
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