Artificial Intelligence (AI) will not just change our lives but bring about revolutionary transformation. AI can augment efficiencies of good and bad things and thus has been considered both an opportunity and risk for the sustainable development of humans. This study designed a survey to collect 1018 samples of educated people with access to the internet in Taiwan regarding their perceptions of AI and its connections to the Sustainable Development Goals (SDGs). The respondents showed high confidence in their AI knowledge. They had a very positive attitude toward AI but at the same time thought AI was risky. In general, people in Taiwan could be “rational optimists” regarding AI. We also examined how people think of the linkages between AI and the SDGs and found that SDG 4, SDG 9, and SDG 3 had the highest “synergy” and lowest rates of “trade-off”. Significant differences for some key questions were also identified concerning the demographic variables such as gender, age, education, and college major. According to the data analysis, education played as the base to construct a sustainable AI-aided town with an embedded innovative circular economy and high-quality water and energy services, making the residents live healthier lives. The findings of this study can be referred to when the perceptions of AI and sustainability issues are of interest for an emerging high-tech economy such as Taiwan and other Asian countries.
To understand how the sustainable development goals (SDGs) are involved and cited in different fields, the current study aimed to explore the key SDGs and SDG-pairs from the viewpoints of academia and the media. The academic publications with SDG(s)-related keywords in the Scopus database and the entry videos of the “2018 SDG Lions” were collected and analyzed through content and network analysis. It was found that SDG 3 and SDG 10 shared the highest preferences in both industries, but apparent gaps happened to SDG 5. The tied frequencies of the possible SDG pairs were also examined, and SDG 3-10 was identified taking the lead in both industries. Network analysis using degree centrality as the vital parameter demonstrated that SDG 8 and SDG 5 has strong connections with several SDGs for the academia and the media, respectively. The SDG-2-6-7 combination or “water-energy-food” nexus was also found the most frequent combination of three SDGs in the academia. Overall, SDG 3 can be treated as a unifying theme when seeking to acquire evidence-based knowledge for integrated implementation of the SDGs. Important implications for policy-making of the SDGs were also discussed.
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