Automation

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The Regulation of AI — Should Organizations Be Worried?

  • Read Time: 6 min 

As companies pour resources into designing the next generation of tools and products powered by AI, many are failing to simultaneously examine the question of who is ethically and legally responsible for the societal backlash if these systems go awry. Over 80% of Americans now believe that robots and/or AI should be carefully managed. Because there are no clear-cut answers or solutions, the talk of regulations — and, more lightly, standards — is getting louder.

What Does an AI Ethicist Do?

  • Read Time: 7 min 

Microsoft has been active in advocating for an ethical perspective on artificial intelligence, and in 2018 it appointed its first general manager for AI policy and ethics. Tim O’Brien, who had been with the company for 15 years, says his activities as “AI ethics advocate” include extending the community of people who are focused on the ethics topic, meeting with Microsoft customers, and leading a research effort to develop a global perspective on tech ethics.

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People and Machines: Partners in Innovation

Thoughtful adoption of intelligent technologies will be essential to survival for many companies. But simply implementing the latest technologies and automation tools won’t be enough. Success will depend on whether organizations use them to innovate in their operations and in their products and services—and whether they acquire and develop the human capital to do so.

The Digital Future of Strawberries

Technology may hold the answer to two of the knottiest problems faced by the U.S. economy — the shortage of farm labor and the excess of vehicle traffic. But there’s a flip side: It also enables surveillance so widespread and intrusive, companies can track even our heartbeats — and the data collected by these sensors is far from secure.

Leisure Is Our Killer App

How can we avoid being automated out of our jobs? When recommending areas for development, experts tend to focus on two broad classes of skills that distinguish people from machines: sociability and variability. But homing in on those areas can lead to burnout, leaving us even more vulnerable to obsolescence. Leisure can mitigate these effects. Beyond reducing burnout, leisure is a uniquely human activity that robots cannot perform, and it might actually make us better thinkers and workers.

Revisiting the Jobs Artificial Intelligence Will Create

It can be easy to get caught up in all the uncertainty and speculation around the future of automation, but when we focus on the future, we may fail to see what’s happening right in front of us. In this audio interview, MIT SMR editor in chief Paul Michelman revisits the work of Accenture researchers Paul Daugherty and H. James Wilson to discuss what’s changed in the AI landscape and what leaders should be thinking about next.

Every Leader’s Guide to the Ethics of AI

  • Read Time: 9 min 

As artificial intelligence-enabled products and services enter our everyday lives, there’s a big gap between how AI can be used and how it should be used. A 2018 Deloitte survey of AI-aware executives found that 32% ranked ethical issues as one of the top three risks of AI, but most companies don’t yet have specific approaches to grapple with the challenges. Here, we list the seven actions that leaders of AI-oriented companies — regardless of their industry — should consider taking.

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Using Artificial Intelligence to Promote Diversity

What if, instead of perpetuating harmful biases, AI helped us overcome them? What if our systems were taught to ignore data about race, gender, sexual orientation, and other characteristics that aren’t relevant to the decisions at hand? They can do all that — with guidance from the human experts who create, train, and refine them.

Planning for the Human-Digital Workforce

  • Video | Runtime: 1:03:22

Automation is a scary word for the average worker, but implemented correctly, it can have enormous benefits for companies, customers, and even the workforce. In this webinar, automation expert Mary Lacity explains how thoughtful adoption of bots and automated services can make the difference in the outcome for all stakeholders.

Preparing for the Coming Skill Shifts

  • Read Time: 3 min 

CEOs worry about ensuring that their companies have the right skills mix to thrive in the age of AI and automation, and they’re smart to be thinking about talent at a strategic level. But the external labor market can do only so much to address the anticipated shifts in demand. So companies should double down on retraining the people they have, with an emphasis on lifelong learning and adaptability.

Four Ways Jobs Will Respond to Automation

The robots are coming! But counter to popular belief, it’s not just low-paying jobs that are at risk of automation. According to research by Scott Latham and Beth Humberd, predicting which jobs are vulnerable requires analyzing the type of value job holders deliver and the skills they use to deliver it. Workers must understand four paths of job evolution — and factors behind each path — if they hope to adapt.

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What Digital Transformation Means in 2018 and Beyond

  • Video | Runtime: 01:03:59

  • Read Time: 1 min 

New research shows that large organizations are still struggling to implement their digital transformations. Relentless, fast-paced technological progress and massive competency shifts present cultural/organizational challenges that make digital transformation a complex yet necessary exercise. In this webinar, Dr. Didier Bonnet discusses these findings and shares his thoughts on the barriers to digital transformation and what leaders can do to overcome them.

How AI Can Amplify Human Competencies

The fear of robots eclipsing human power in society, in particular the workforce, has persisted for decades despite the moderate progress of artificial intelligence systems. For professor and robotics researcher Ken Goldberg, a hybrid human-machine workforce is much more likely to take shape, and in many industries, it has already begun.

AI-Driven Leadership

  • Read Time: 7 min 

Not many companies are there yet, but there’s a developing framework for what it takes to lead an AI-driven company. Leaders at the forefront of AI have seven key attributes: They learn the technologies; establish clear business objectives; set an appropriate level of ambition; look beyond pilots and proofs of concept; prepare people for the journey; get the necessary data; and orchestrate collaborative organizations.

Why Supply Chains Must Pivot

Even today’s most digitally advanced supply chains still try to predict what will happen, then optimize performance against plan. The problem is, the world is not predictable. For operations teams, the challenge and competitive advantage becomes: how well do you respond and execute against ongoing uncertainty?

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