{"id":35060,"date":"2024-01-18T22:34:04","date_gmt":"2024-01-19T06:34:04","guid":{"rendered":"https:\/\/blogs.georgefox.edu\/dlgp\/?p=35060"},"modified":"2024-01-18T22:34:04","modified_gmt":"2024-01-19T06:34:04","slug":"ai-and-january-20-2030","status":"publish","type":"post","link":"https:\/\/blogs.georgefox.edu\/dlgp\/ai-and-january-20-2030\/","title":{"rendered":"AI and January 20, 2030"},"content":{"rendered":"<p style=\"font-weight: 400\">Consider the following headlines, which are all based on true policies:<\/p>\n<p style=\"font-weight: 400;text-align: center\"><strong>Homeless Shelters Perpetuate Homelessness<\/strong><\/p>\n<p style=\"font-weight: 400;text-align: center\"><strong>Drug Busts Increase Drug-Related Crime<\/strong><\/p>\n<p style=\"font-weight: 400;text-align: center\"><strong>Food Aid Increases Starvation<\/strong><\/p>\n<p style=\"font-weight: 400;text-align: center\"><strong>\u201cGet Tough\u201d Prison Sentences Fail to Reduce the Fear of Violent Crime<\/strong><\/p>\n<p style=\"font-weight: 400;text-align: center\"><strong>Job Training Programs Increase Unemployment<sup>1<\/sup><\/strong><\/p>\n<p style=\"font-weight: 400\">\n<p style=\"font-weight: 400\">What is going on here? Why do seemingly well-intentioned policies produce the opposite of what they are supposed to accomplish? If you look closely at these solutions and many other stories of failed policies, they have similar characteristics. They:<\/p>\n<p style=\"font-weight: 400\">\n<ol>\n<li>Address symptoms rather than underlying problems.<\/li>\n<li>Seem obvious and often succeed in the short run.<\/li>\n<li>Achieve short term gains that are undermined by longer-term impacts.<\/li>\n<li>Produce negative consequences that are unintentional.<\/li>\n<li>Lead us to assume that we are not responsible for the problem\u2019s recurrence.<\/li>\n<\/ol>\n<p style=\"font-weight: 400\">\n<p style=\"font-weight: 400\">Based upon the above well-intentioned policies that have produced the opposite of what they are supposed to accomplish, what if the New York Times front page for January 20, 2030, read:<\/p>\n<p style=\"font-weight: 400;text-align: center\"><strong>The Logical Algorithms of AI Has Led to Societal Emotional Disconnection<\/strong><\/p>\n<p style=\"font-weight: 400\">To assure this headline does not take place, Eve Poole in her book, <em>\u201cRobot Souls: Programming in Humanity\u201d<\/em> asked a very important question, \u201cWhat kind of humans we want to be, in relation to AI?\u201d<sup>2 <\/sup>This is an excellent question keeping humans as the priority over AI. To expand on her question, I am using four \u201cdimensions\u201d to interact with her book to help insure that headline for January 20, 2030 is never written. The four dimensions are from David Peter Stroh\u2019s book, <em>Systems Thinking for Social Change.<\/em> The dimensions he uses are:<\/p>\n<ol>\n<li>Spiritual: The ability to see and articulate what will benefit diverse people over time.<\/li>\n<li>Emotional: The ability to master our emotions in service of a higher purpose.<\/li>\n<li>Physical: The ability to bring people together and enable them to collaborate.<\/li>\n<li>Mental: The ability to recognize how our individual and collective thinking affects the results we want.<sup>3<\/sup><\/li>\n<\/ol>\n<p style=\"font-weight: 400\"><strong>Spiritual<\/strong><\/p>\n<p style=\"font-weight: 400\">By asking ourselves what will benefit diverse people over time, will help to insure, that we will not \u201cbe on the brink of being superseded by AI&#8230;or make us obsolete as human beings.\u201d<sup>4 <\/sup>Humans are wonderful people, but we are not perfect. After a few hours of reading a book and typing a blog, we can get a little tired, a little sloppy. Speaking of tiredness, AI doesn\u2019t suffer from sugar crashes or need a caffeine pick-me-up to get through the 3pm or 10pm slump. As long as the power is turned on, algorithms can run 24 hours a day, 7 days a week without needing a break. Because of this, we need people (world, state, and local leaders) who know this system and are willing to fight to see and articulate what will benefit diverse people over time. AI will always be able to produce more than a human but spiritually God so loved the world (humans, not machines) and therefore, what\u2019s best for humans should most likely be the priority.<\/p>\n<p style=\"font-weight: 400\"><strong>Emotional<\/strong><\/p>\n<p style=\"font-weight: 400\">To master our emotions in service of a higher purpose Poole remarks, \u201cwe have an overwhelming need to matter, both to ourselves and to others. Our coding drives us to community.\u201d<sup>5 <\/sup>As leaders we understand the importance of emotional connection. Therefore, as we influence or write to influence the AI system, a very important question to ask is, How are we connecting people, businesses, churches, international organizations, etc. I do not have an answer for this, but I am willing to dialogue and read others to gain insight to use AI in the future to help others connect on an emotional level.<\/p>\n<p style=\"font-weight: 400\"><strong>Physical<\/strong><\/p>\n<p style=\"font-weight: 400\">AI has already \u201cbeen trained to recognize emotions in humans, given advances in facial recognition.\u201d<sup>6 <\/sup>And even though it can recognize emotion, how well can AI use this emotion to bring people together and enable them to collaborate. Humans simply can\u2019t match AI when it comes to analyzing large datasets. For a human to go through 10,000 lines of data on a spreadsheet would take days, if not weeks. AI can do it in a matter of minutes. As leaders of change, we can assure that we use AI to bring our employees, co-workers, colleagues, friends, and family closer together through AI instead of further apart.<\/p>\n<p style=\"font-weight: 400\"><strong>Mental<\/strong><\/p>\n<p style=\"font-weight: 400\">Eve Poole not only diagnoses what is wrong with AI but offers ideas about how to make it better. Rather than throwing out the big baby with the bath water, she basically decides we should stop stripping out all that makes us most human\u2015like emotions and mistakes\u2015and put our \u2018junk code\u2019 into the programming of AI. If it has been good enough for human survival, it is good enough for AI. This goes along with Stroh\u2019s fourth dimension of system thinking, to recognize how our individual and collective thinking affects the results we want. This means dialoguing and using critical thinking while listening to others. When we do this, it helps to become mentally healthier because we learn how to collaborate with others.<\/p>\n<p style=\"font-weight: 400\">In conclusion, this is just one small way to assure we do not become disconnected from each other as AI grows to make our life easier and yes, more efficient. By living out these four dimensions it promotes responsibility and empowerment. Everyone, especially the leader has a responsibility to make our world a better place to work in and when people are empowered, they will continue to work toward a unified goal of spiritual, emotional, physical, and mental oneness.<\/p>\n<ol>\n<li>Matthew B. Durose, Alexia D. Cooper, and Howard N. Snyder, \u201cRecidivism of Prisoners Released in 30 States in 2005: Patterns from 2005 to 2010,\u201d US Department of Justice, Office of Justice Programs, Bureau of Justice Statistics, April 2014.<\/li>\n<li>Eve Poole. <em>Robot Souls: Programming in Humanity. <\/em><\/li>\n<li>David Peter Stroh. <em>Systems Thinking for Social Change. <\/em><\/li>\n<li>Eve Poole. <em>Robot Souls: Programming in Humanity. <\/em><\/li>\n<li>99.<\/li>\n<li>116<\/li>\n<\/ol>\n<p style=\"font-weight: 400\">\n<p style=\"font-weight: 400\"><strong>\u00a0<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Consider the following headlines, which are all based on true policies: Homeless Shelters Perpetuate Homelessness Drug Busts Increase Drug-Related Crime Food Aid Increases Starvation \u201cGet Tough\u201d Prison Sentences Fail to Reduce the Fear of Violent Crime Job Training Programs Increase Unemployment1 What is going on here? Why do seemingly well-intentioned policies produce the opposite of [&hellip;]<\/p>\n","protected":false},"author":176,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[2310],"tags":[2616],"class_list":["post-35060","post","type-post","status-publish","format-standard","hentry","category-doctor-of-leadership-3","tag-dlgp02-poole","cohort-dlgp02"],"acf":[],"_links":{"self":[{"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/posts\/35060","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/users\/176"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/comments?post=35060"}],"version-history":[{"count":1,"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/posts\/35060\/revisions"}],"predecessor-version":[{"id":35061,"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/posts\/35060\/revisions\/35061"}],"wp:attachment":[{"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/media?parent=35060"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/categories?post=35060"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.georgefox.edu\/dlgp\/wp-json\/wp\/v2\/tags?post=35060"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}