Daniel Faggella is the founder and CEO at Emerj. Called upon by the United Nations, World Bank, INTERPOL, and many global enterprises, Daniel is a sought-after expert on the competitive strategy implications of AI for business and government leaders. Business leaders, managers, and consultants with an eye on AI aren't just trying to learn what AI can do, they're trying to discover ways to gain an AI advantage. For this reason, discovering AI trends can be particularly important. Most of the work that we do with our AI Capability Map services is about finding trends in quantitative data – which requires hundreds of hours of expert research, and established frameworks for interpreting and categorizing data for insight.
When Arnold Schwarzenegger said "I'll be back" in The Terminator, he probably didn't realize the film would keep coming back in discussions about robots and artificial intelligence. Yet 35 years after Schwarzenegger portrayed a cyborg assassin from an AI-dominated future, much of Western discourse on robots is repeating a Terminator-like scenario: panic that robots will take our jobs, and that AI will take over the world, Skynet-style. Western culture has had a long history of individualism, warlike use of technology, Christian apocalyptic thinking and a strong binary between body and soul. These elements might explain the West's obsession with the technological apocalypse and its opposite: techno-utopianism. In Asia, it's now common to explain China's dramatic rise as a leader in AI and robotics as a consequence of state support from the world's largest economy.
Prepare for structural changes and ethical workplace transformation now by helping employees adjust to the role of machines in their jobs – it's no secret that the workforce of the future calls for a new approach in business-- one that is totally employee-centric and transparent. The rise of powerful analytics and automated decision-making will ultimately create a massive change in roles and tasks that will redefine work. Establish clear enterprise-wide policies now about the deployment of AI, including the use of data and standards of privacy – Through GDPR regulation and the American AI Initiative we've seen that ultimately, the lead in educating, training, and managing the AI-enabled workforce rests with business--and the sooner leaders set forth on this journey, the more influence they will have on coming initiatives and regulations. Build algorithms that are secure and have a strong "ethical compass" – When creating algorithms to deploy AI responsibly, security and governance of the data is crucial to the overall integrity of the model, as well as establishing clear lines of ownership to generate accountability. Ensure the goal and purpose of critical algorithms are clearly defined and documented to mitigate bias – Every leader should have a moral imperative to mitigate bias by governing AI along its entire lifecycle--from its ideation and build to its continuing evolution--and then take new steps to manage and guide an increasingly diverse workforce as the nature of work changes.
Artificial Intelligence (AI) -- the ability of machines to make decisions that normally require human expertise -- already is changing our world in countless ways, from self-driving cars to facial-recognition technology. But the best -- and maybe the worst -- is yet to come. AI is being used increasingly in health care, including the possibility of a radiology tool that might eliminate the need for tissue samples. Knowing that, the people leading a new project called Ethical-AI for the Center for Practical Bioethics (CPB) are trying to make sure that AI health care tools will be created and used in ethical ways. The ethical questions the project is raising should have been considered in a systematic way years ago, of course.
Today, emerging technologies of the such as artificial intelligence, gene editing, nanotechnology, and the blockchain are being explored as ways to fundamentally "disrupt" medicine and healthcare. Despite the promises of such technologies, implementing this kind of disruption has presented countless unintended challenges. Given, first and foremost, the Hippocratic duties of healthcare providers to'do no harm', it is essential that the role of these emerging technologies in medicine is carefully scrutinized by practitioners that understand and can think critically about them. Artificial intelligence (AI) can be broadly defined as the ability for a machine to perform human-like tasks after learning from experience. AI is poised to introduce significant changes to medicine and healthcare.
Enrique is an HR, Tech and Future of Work expert and keynote speaker and founder of Hacking HR, a global learning community at the intersection of future of work, technology, business and organizations, with thousands of members all over the world. He came to the United States from Venezuela as a Fulbright Scholar. Prior to coming to the US, Enrique was the CEO at Management Consultants, a firm specialized in Human Resources in Venezuela. Before Management Consultants, Enrique worked in the telecommunications sector as a Senior Project Engineer for Telefonica. He is also the cofounder of Cotopaxi, a recruitment platform focused on Latin America and the Caribbean.
One of the biggest challenges facing HR managers is that they should be totally unbiased when examining an applicant's potential and competence. However, it is hard to remain objective, for example, when a candidate has lots of common with a recruiter or, on the contrary, has an opposite view on stuff that is not directly linked to their profession. This similarity or discrepancy of opinions and values may affect the recruiter's judgment. AI software is no way influenced by bias or prejudice and thus is less prone to making an error. It determines whether a candidate has a great value to the company without relying on the quality of interpersonal communication.
How does Artificial intelligence (AI) fit into the plans of a company that bestrides the worlds of both software and hardware? But thanks to its broad scope, HP can use AI to much wider effect. We checked in recently with Dr. Tony Lewis, Vice President and Global Head of HP's Artificial Intelligence and Emerging Compute Lab, to learn more about HP Lab's vision for using AI to build next-generation cyber-physical systems, why this is an especially exciting time to be working in the field, and how his lab is also investigating several other emerging areas of computer research. HP: Most major tech companies are now investing heavily in AI research. What would you say is different about HP Labs' approach?
Long gone are the days when talk of the existential threat of robots was confined to science fiction. Killer robots are a real worry today. So much so that thousands of academics, scientists, and engineers have signed a petition as part of the Campaign to Stop Killer Robots. Thankfully, we still have time to make a change by putting laws in place that will prevent governments from developing these technologies unchecked. Robots are a long way from being the Skynet monstrosities we see in the movies.