Artificial intelligence has made its place in all our lives, from correcting our bad grammar, personalizing our music on apps, to automating work in several industries. AI holds a massive potential to transform the future of work. But to understand this disruptive technology, the general public needs to have a working knowledge of the capabilities. To start slow and avoid the feeling of being overwhelming, here are 10 books that will help you grasp the concept. This book is beginner-friendly and gives a less technical overview of several AI topics.
A recent IDC survey revealed that 62% of IT and business leaders believe their organizations will expand resiliency plans in 2021 and 2022 to support unique requirements of the pandemic. But what does that mean exactly? Traditionally, resiliency has been framed in terms of responding to business disruptions and restoring operations in a timely fashion. However, this definition of resiliency is no longer enough - it's not enough to simply respond or restore. Digital resiliency shifts the focus from responding reactively to adapting and moving forward proactively.
The AI Ethics Certification course teaches right and wrong, if such a thing exists, in the context of the artificial intelligence industry. This three-section training starts by asking "What is ethics?" We'll discuss its history, different philosophies, ethics in business, and learn the five most common principles. Second, ethics as it pertains specifically to AI with interviews from founders across the globe. We will examine commonly cited principles from governments and leaders and equate them to the five traditional pillars.
Responsible AI, Ethical AI, AI for social good -- I am sure you must have heard these terms at some point or the other, whether you are a Data Scientist or not. "The development of full artificial intelligence could spell the end of the human race." And there my journey of understanding this critical aspect of the AI foundation started. I used to wonder how to relate ethics with AI which is just a series of algorithms, when, in fact, we have not been able to apply ethical behavior among ourselves. As per the AI index report published by the Stanford University Institute for Human-Centered AI, cybersecurity and regulatory compliance are among the top risks identified by AI/ML-oriented organizations.
My wife and I were recently driving in Virginia, amazed yet again that the GPS technology on our phones could guide us through a thicket of highways, around road accidents and toward our precise destination. The artificial intelligence (AI) behind the soothing voice telling us where to turn has replaced passenger-seat navigators, maps, even traffic updates on the radio. How on earth did we survive before this technology arrived in our lives? We survived, of course, but were quite literally lost some of the time. My reverie was interrupted by a toll booth. It was empty, as were all the other booths at this particular toll plaza.
At a time when India is trying to rekindle productivity and growth, AI promises to fill the gap. AI can boost profitability and transform businesses across sectors through systems that can learn, adapt and evolve with changing times. Such systems are increasingly important in a post-pandemic world where scalable AI solutions may be able to help organizations be prepared even during unprecedented situations. As organisations are working hard to re-architect themselves by changing their business models and technology architecture to survive in the pandemic world, it is time for them to invest in scalable AI solutions to achieve their goals faster. At the same time, technologists and businesses across the world have to advocate for the responsible use of AI.
SAN FRANCISCO, CA - SEPTEMBER 07: Google AI Research Scientist Timnit Gebru speaks onstage during ... [ ] Day 3 of TechCrunch Disrupt SF 2018 at Moscone Center on September 7, 2018 in San Francisco, California. 'Taking On Tech is an informative series that explores artificial intelligence, data science, algorithms, and mass censorship. In this inaugural report, For(bes) The Culture kicks things off with Dr. Timnit Gebru, a former researcher and co-lead of Google's Ethical AI team. When Gebru was forced out of Google after refusing to retract a research paper that was already cleared by Google's internal review process, a conversation about the tech industry's inherent diversity problem resurfaced. The paper raised concerns on algorithmic bias in machine learning and the latent perils that AI presents for marginalized communities. Around 1,500 Google employees signed a letter in protest, calling for accountability and answers over her unethical firing.
"Each of our lives is increasingly impacted by Artificial Intelligence--how we accomplish tasks, our habits, even the way we think about the world--and nearly every aspect of intellectual pursuit is changing through this technology," said Mike Kirby, UI2 director. "To be proactive, we need to ask not only, 'What do we do?' but'How do we do it?'" The symposium, which runs from 3:30 to 5 p.m. on Sept. 21 and 22, is offered to University of Utah community members and industry partners from across the academic spectrum as an opportunity to discuss the ethical, social and technical implications of artificial intelligence and its impact on society. The Zoom gathering will feature keynote speaker Moshe Vardi, who leads Rice University's Initiative on Technology, Culture and Society. Other discussions about the intersections of technology and society are planned throughout the fall.