In this Silicon Valley Series I was honored to interview a number of very smart and experienced Silicon Valley dignitaries on a variety of important business trends, technologies and strategies. I hope you find this series of short interviews useful. In this episode, I interview Silicon Valley veteran and three time CEO Tom Thimot on how artificial intelligence and automation are evolving from hybrid models to more trusted automation models. Read more from Kevin Benedict at the Center for Digital Intelligence: 12 Step Plan for Digital Transformation Speeds Artificial Intelligence, Combined Actions and Digital Strategies Competition, Artificial Intelligence and Balloons 7 Imperatives for Thriving During Digital Transformation What Artificial Intelligence Can Teach Us Speed as a Competitive Advantage in Digital Transformation Culture as a Competitive Advantage in Digital Transformation Digital Technologies and the Compression of both Time and Distance Patterns, Platforms and Automation Making the Hard Decisions in Digital Transformation Center for Digital Intelligence Interviews: Hitachi's Rob Tiffany on Industrial IoT Digital Transformation and the New Rules for Start-Ups Digital Transformation and Leadership Development Digital Transformation and Competitive Decision-Making Combinatorial Nature of Digital Technologies and Legos Digital Transformation from 40,000 feet Winning in Chaos - Digital Leaders 13 Recommended Actions for Digital Transformation in Retail Mistakes in Retail Digital Transformation Winning Strategies for the Fourth Industrial Revolution Digital Transformation - Mindset Differences Analyzing Retail Through Digital Lenses Digital Thinking and Beyond! Measuring the Pace of Change in the Fourth Industrial Revolution How Digital Thinking Separates Retail Leaders from Laggards To Bot, or Not to Bot Oils, Bots, AI and Clogged Arteries Artificial Intelligence Out of Doors in the Kingdom of Robots How Digital Leaders are Different The Three Tsunamis of Digital Transformation - Be Prepared!
Microsoft cofounder and world's richest man Bill Gates believes near-future low intelligence artificial intelligence as a positive tool for labor replacement but he also worries that "superintelligent" systems might become a threat. Is humanity really doomed due to the ubiquity and prevalence of artificial intelligence? According to several AI believers, humans should not fear artificial intelligence, instead look at the positive impacts of AI in changing the way humans manage their lives. Despite artificial intelligence's growing benefits and use in addressing some of the major problems of the society, some experts are still wary about its existential risks to mankind. So, this article will give you a glimpse of AI's terrifying and astonishing future in the eyes of the world's smartest, philosophers and entrepreneurs as well as known AI advocates.
The fast-moving field of artificial intelligence development is a lucrative one -- a head-spinning one -- an oft-surprising and exciting one. But peer past the frenzy of media headlines announcing the latest discoveries and newest breakthroughs and it's sad but true, the world of science, including technology, is a field dominated by godless leftists, too. Look at this headline, from a New Yorker piece in September of 2015: "All Scientists Should be Militant Atheists." That was by cosmologist Lawrence Krauss, who also served as the director of the Origins Project at Arizona State University, an endeavor aimed at exploring the universe, humanity and technology. Krauss saw his career suffer a bit of a hit in 2018, on the heels of accusations by women of sexual harassment -- accusations which he has strenuously denied, by the way.
When Elon Musk co-founded OpenAI its goal was to determine how AI technologies could best serve humanity. According to a new company charter, its mission going forward will be developing "highly autonomous systems that outperform humans at most economically valuable work." It wants to make machines smarter than people. It's called artificial general intelligence (AGI) and, depending on who you ask, it's either the Holy Grail or Pandora's Box when it comes to machine learning. Despite the fact that Musk recently distanced himself from the company -- stating Tesla's development of AI presented a conflict of interests for him – it still has his sense of ambition.
Good aim, at the wrong target, is always a miss. This describes much of the current work in Artificial Intelligence: Brilliant minds, clever programmers, amazing algorithms, all pointed at the wrong target with stupefying aim. Despite their brilliance, cleverness, and coding, someone will get hurt if we continue pursuing the type of AI in vogue. A few weeks ago, Google put out guidance for research on preventing harm from AI. This last week, the Federal Government did the same.