{"id":23878,"date":"2020-01-22T08:00:49","date_gmt":"2020-01-22T16:00:49","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=23878"},"modified":"2020-01-23T09:06:45","modified_gmt":"2020-01-23T17:06:45","slug":"interview-pamela-mccorduck-ai-industry-pioneer","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2020\/01\/22\/interview-pamela-mccorduck-ai-industry-pioneer\/","title":{"rendered":"Interview: Pamela McCorduck, AI Industry Pioneer"},"content":{"rendered":"\n<p>I recently caught up with Pamela McCorduck, AI expert, industry pioneer and author of  her compelling new book \u201cThis Could Be Important: My Life and Times with the Artificial Intelligentsia,\u201d which covers her unique experiences around AI. She has been working around the field of artificial intelligence since 1960. In the interview she offers unique insight on the evolution that developed the technology we use daily today. Pamela witnessed the first developments of AI when the impersonal machine first evoked a candid and personal response from a human and has been documenting ever since.<\/p>\n\n\n\n<p><strong>insideBIGDATA: <\/strong>Can you tell us what motivated you to write this title? Why now?<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignright\"><img decoding=\"async\" loading=\"lazy\" width=\"200\" height=\"200\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck.jpg\" alt=\"\" class=\"wp-image-23879\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck.jpg 200w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck-150x150.jpg 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck-110x110.jpg 110w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck-50x50.jpg 50w\" sizes=\"(max-width: 200px) 100vw, 200px\" \/><\/figure><\/div>\n\n\n\n<p><strong>Pamela McCorduck:<\/strong> My  story is unique\u2014no one else could tell it. I knew the founding fathers of AI both professionally and socially from the time the field was barely underway. I knew that these weren\u2019t nefarious characters,  planning to make terrible mischief in society. They were scientists,  hoping to model human intelligence scientifically, by using this new and dynamic instrument called the computer. I was there when a speech understanding program that could understand a thousand spoken words (albeit in a very limited field) was a triumphant achievement. When I moved to Manhattan and found myself in literary circles, I\u2019d say to  public intellectuals: \u201cArtificial Intelligence? This could be  important.\u201d Of course they laughed\u2014uproariously, or condescendingly, or in utter disbelief. A machine thinking? How silly is that? <em>This could be important<\/em> was my mantra for decades.<\/p>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> You\u2019ve experienced first hand a number of \u201cAI\u201d winters. What makes this  time around, with all the excitement around the field, different?<\/p>\n\n\n\n<p> <strong>Pamela McCorduck:<\/strong> First,  I\u2019d like to unpack that term, \u201cAI winter.\u201d What it really meant was that a period had come along when research in AI couldn\u2019t easily be monetized. I went back and looked at the titles of research papers published during the first so-called AI winter, the early and  mid-eighties. Fundamental research was being published, research that  would undergird future AI applications (e.g., major algorithms around  machine learning but only when the technology could accommodate them, a  few decades later).&nbsp;<\/p>\n\n\n\n<p>But the 1980s was the decade of the Reagan administration, when people  brought in to guide and fund AI research, especially in the Department  of Defense, were ideologically committed to monetizing government research. When the research didn\u2019t immediately yield itself to obvious commercial applications, the funders went looking to support work closer to commercial realization. What we see in AI\u2019s success right  now\u2014machine learning, for example\u2014is the result of research done during that decade. When administrations change and funding agencies can take a longer view, end of \u201cwinter.\u201d Of course present publicly lauded success draws young researchers to join in the excitement, so youngsters flock to the field. Is another AI winter coming, as I read recently? Could be. One of the leading scientists in machine learning told me\u2014and this is  in my book\u2014that machine learning has gone as far as it can go, and he was looking for different approaches to push AI forward. Machine learning <em>apps<\/em> will proliferate until the end of time it seems, but that\u2019s not research. It\u2019s development.<\/p>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> How do you feel about the way people\/companies play loose with the term  \u201cAI\u201d? As a result do you feel the general public is getting the wrong impression about the technology.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"alignleft\"><img decoding=\"async\" loading=\"lazy\" width=\"320\" height=\"238\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck_book_cover.jpg\" alt=\"\" class=\"wp-image-23880\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck_book_cover.jpg 320w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck_book_cover-150x112.jpg 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck_book_cover-300x223.jpg 300w\" sizes=\"(max-width: 320px) 100vw, 320px\" \/><\/figure><\/div>\n\n\n\n<p><strong>Pamela McCorduck:<\/strong> I\u2019m  not a linguistic purist when it comes to AI. Our model of intelligence is humans, and what do you know? To perform intelligent behavior, humans use all sorts of approaches, from pattern recognition to the highest  kind of symbolic reasoning and expressions. We read faces and other kinds of body language; sometimes we take our time, and sometimes we  jump to conclusions. What\u2019s interesting to me is how AI has enlarged the very notion of intelligence. We once believed humans were the only species that exhibited intelligent behavior. Were we wrong! Now we\u2019re looking at non-human intelligent behavior with more respect. Journalism about AI is so varied\u2014the new Jerusalem; the end of civilization as we know it\u2014that the public can think anything it wants. And yes, AI will  change things profoundly. We just don\u2019t know how yet.<\/p>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> What do you think about the misuse of AI, specifically deep learning and its application to government controlled facial recognition, \u201cdeep  fakes\u201d videos, etc.?<\/p>\n\n\n\n<p> <strong>Pamela McCorduck:<\/strong> I\u2019m very disturbed by it, both as a citizen and as a spectator of AI  research. A thread in my book is how naive I was\u2014we all were\u2014in the  early days, when it seemed as if more intelligence could only be like more virtue. I\u2019m especially disappointed with myself. I was a student of the humanities. How could I not have imagined that more intelligence  would bring along all the usual misbehaviors humans are capable of? I\u2019m  embarrassed to say that it took a while to recognize that. I expect  there will be technological fixes to the issues of deep fake videos and  generative writing that fakes the writing style of authors and journalists (researchers are working on that like mad) but facial recognition (so flawed right now) is a blundering tool in the hands of  governments. It will still be blundering when it improves technically.  That\u2019s really a political, not a technological problem.<\/p>\n\n\n\n<p><strong>insideBIGDATA:<\/strong> Can you pull out your crystal ball\u2026Will AGI be a reality one day?<\/p>\n\n\n\n<p> <strong>Pamela McCorduck:<\/strong> I can\u2019t think why AGI wouldn\u2019t be a reality one day. As for the rest,  it\u2019s more my wish than any projected beliefs: I\u2019d love to see AI in the service of social problems, for instance alleviating poverty. Let\u2019s  assume earlier forecasters were correct, that AI will usher in a time of  abundance. Will that abundance be evenly shared, or will the .001% grab  the lion\u2019s share? Can we bring the benefits of AI to the underserved  rest of the planet? That\u2019s a political, not a technological problem.<\/p>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noreferrer noopener\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I recently caught up with Pamela McCorduck, AI expert, industry pioneer and author of  her compelling new book \u201cThis Could Be Important: My Life and Times with the Artificial Intelligentsia,\u201d which covers her unique experiences around AI. She has been working around the field of artificial intelligence since 1960. In the interview she offers unique insight on the evolution that developed the technology we use daily today. Pamela witnessed the first developments of AI when the impersonal machine first evoked a candid and personal response from a human and has been documenting ever since.<\/p>\n","protected":false},"author":37,"featured_media":23879,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,87,180,191,56,97,1],"tags":[437,324,95],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Interview: Pamela McCorduck, AI Industry Pioneer - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2020\/01\/22\/interview-pamela-mccorduck-ai-industry-pioneer\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Interview: Pamela McCorduck, AI Industry Pioneer - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"I recently caught up with Pamela McCorduck, AI expert, industry pioneer and author of her compelling new book \u201cThis Could Be Important: My Life and Times with the Artificial Intelligentsia,\u201d which covers her unique experiences around AI. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.","sameAs":["http:\/\/www.insidebigdata.com","https:\/\/twitter.com\/@AMULETAnalytics"],"url":"https:\/\/insidebigdata.com\/author\/dangutierrez\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2020\/01\/Pamela-McCorduck.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-6d8","jetpack-related-posts":[{"id":18117,"url":"https:\/\/insidebigdata.com\/2017\/06\/13\/interview-patrick-moakley-director-marketing-hpc-ai-lenovo\/","url_meta":{"origin":23878,"position":0},"title":"Interview: Patrick Moakley, Director of Marketing for HPC &#038; AI at Lenovo","date":"June 13, 2017","format":false,"excerpt":"I recently caught up with Patrick Moakley, Director of Marketing for High Performance Computing (HPC) & Artificial Intelligence (AI) at Lenovo, to get his insights about this fast paced industry. 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