I am a member of Generation X, even if it is just by a year, I embrace many of the characteristics of this generation. I can identify with Meeker’s description of the Generation X, as I am cautious regarding finances and I value self-sufficiency (2016). Meeker (2016) suggests that Generation X members traditionally embrace technology and “seamlessly” integrate technology into their lives every day; however, this is where I divert from Generation X. I have been slow to adopt many forms of technology. I consider myself Mac illiterate, I resist upgrading my iPhone from my iPhone 6, and I still check out books at the library, yet I understand that the future is here and I need to embrace it. Some forms of technology I simply have not embraced, but I do recognize the significant value that technology brings to knowledge acquisition. Weinberger (2011) offers five ideas about the networking of knowledge which include; open access, provide the hooks for intelligence, link everything, leave no institutional knowledge behind, and teach everyone. These ideas all can help to make the net more conducive for offering knowledge to consumers. As technology rapidly changes and evolves, to stay current and adapt, we must accept change and embrace the knowledge that the net can offer.
Technology is rapidly changing and the changes are inevitable. It seems like just as I acquired my iPhone 6, the same day, my phone was asking me to do a system update. How fast technology changes offers us a glimpse of how much technology of the future will be different than what we see today and reminds us of how close we are to technology of the future. To keep up with the rapid changes of technology we must work with, not against technology (Kelly, 2016). Kelly (2016) suggests that we steer technology to stay ahead of it. Much of the artificial intelligence (AI) that many think they are against is already here and present in many of our modern conveniences such as touch screens, induction cooking, and GPS (Corning, 2016). The technology of the future is essentially the technology that we have today with artificial intelligence added to it. One way that that we can learn to steer technology and AI is by working to better understand intelligence and the types that exist. A better understanding of intelligence can open the door for inventing a new type of intelligence or thinking. Much of the knowledge acquisition can come from the concept that knowledge from scholars is readily available and open for access on the net and that metadata and hyperlinks can enhance intelligence (Weinberger, 2011). Additionally, the connectivity of the web can also be a key factor in increasing intelligence because of the multitudes of contributors and the diversity if thought of each contributor (Weinberger, 2011).
As we enter what Kelly (2016) considers the second industrial revolution, we will need to embrace robots and appreciate the efficiency that robots bring. According to Kelly (2016), most of what we do as humans is not efficient, such as art, relationships, and innovation. However, if we work with robots we can become more efficient if we work as a team and combine AI with the cognition that human thought brings (Kelly, 2016). It appears that the greatest level of efficiency can come if we can combine multiple forms of intelligence, while factoring on the societal changes ahead (Meeker, 2016). The change that I believe will be most significant to the future of AI and technology is analytics and the web. In contrast, what is most surprising to me is the demographic shift in web usage. For example, it was a shock to me that Meeker (2016) reported that India’s internet usage is increasing. To be prepared for this second industrial revolution it is also important that we not make the net elite or exclusive, but instead teach everyone how to use the web (Weinberger, 2011).
As we move forward in technology and accept the rapid changes of technology, I think it is important that we embrace AI as an inevitable aspect of technology, while understanding the value of the intelligence that human thought brings to intelligence. The best approach to dealing with the technology revolution is to approach it as a team, a team constructed of efficient robot artificial intelligence and humans as constructors of knowledge. The future of technology will be different, but with knowledge we can be prepared for the future.
Weinberger, D. (2011). Too big to know. New York, New York: Basic Books.