The integration of artificial intelligence (AI) into big data analysis has now reached a practical stage, significantly speeding up market research and material development. This advancement offers substantial benefits in enhancing the efficiency of social operations. However, it also raises serious concerns regarding personal privacy and ethical issues. As a result, governments in Europe, the United States, and Japan have started to address these challenges through policy discussions and regulatory measures.
Despite the growing awareness, many Japanese private companies remain passive in addressing AI-related risks. According to the Nikkei website, only Sony recognized potential problems caused by AI as early as 2017. The company joined an NGO formed by American tech firms to explore the negative impacts of AI and ways to mitigate them. This highlights a lack of proactive engagement from other corporations, which need to become more aware of the potential crises that AI might bring.
One of the most alarming aspects of AI is its potential military use, particularly in lethal applications. Jaan Tallinn, co-founder of Skype, has been one of the most vocal advocates for responsible AI development. Born in Estonia, he is acutely aware of the political instability in Europe and the dangers of technology being misused for harmful purposes. His efforts have drawn attention from both the IT community and humanitarian organizations, emphasizing the need for global cooperation on this issue.
Beyond military applications, AI also presents challenges in other areas. For instance, SoftBank, a major Japanese telecom company, began using AI for initial candidate screening in 2017. This system has reportedly reduced hiring time by 75%, with plans to fully implement it by 2018. However, the company still maintains manual review processes for candidates who are rejected by the AI, aiming to prevent errors that could negatively impact individuals’ lives.
While AI is advancing rapidly, especially through deep learning technologies, it is not without flaws. Issues can arise when input data is biased or incomplete. A case in point is an internal IBM report that revealed a bias in image recognition systems, where searches for "grandmother" predominantly returned images of white people. Such biases can lead to serious consequences if AI is allowed to make assumptions about human characteristics without proper oversight.
Although European and American countries have initiated discussions on AI’s societal impact, Japan introduced its own AI-related regulations in 2017. However, Professor Keihan from Keio University pointed out that current efforts are mainly focused on preventing data leaks, while discussions on personal privacy and data protection remain insufficient. He argues that these issues should have been addressed earlier to avoid future complications.
The Nikkei emphasized that as new technologies develop faster than government policies, private companies must take responsibility for their societal impact. This reflects a broader expectation that businesses contribute positively to society, not just pursue innovation for profit. As AI continues to shape our world, balancing progress with ethical considerations will be crucial for long-term sustainability.
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