Smart Technology

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The Internet of (Wonderful and Scary) Things

The benefits of smart devices are wide-ranging: the IoT-powered communication and analytics have the potential to do more than just add convenience to our daily lives, but to actually radically improve the way we work and live. But without taking the right cybersecurity measures, products can fail before they have a chance to see wide adoption.

The Uncertain Status of Gig Work

Many workers value the flexibility and income that gig work provides; customers like being able to find people to do things they want done. However, the extent to which gig workers, typically self-employed individuals, should be afforded the legal rights of employees has yet to be fully resolved in many jurisdictions.

Navigating the Next Wave of Blockchain Innovation: Smart Contracts

Blockchain represents more than just cryptocurrencies and digital cash. The decentralized ledger system provides a platform for smart contracts, which are digital agreements that are fast, secure, and require no third party.

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Want the Best Results From AI? Ask a Human

Companies are adopting artificial intelligence at an accelerated pace — and learning that developing and deploying AI is not like implementing a standard software program. Before diving into AI systems, companies should consider three principles that can greatly improve the chances for a successful outcome. First, they need to recognize that humans and machines are in this together. Second, they need to teach the AI systems with a lot of data. And third, they need to continually test what the systems have learned.

The Risk of Machine-Learning Bias (and How to Prevent It)

Machine-learning algorithms enable companies to realize new efficiencies for tasks from evaluating credit for loan applications to scanning legal contracts for errors. But they are as susceptible as any system to the “garbage in, garbage out” syndrome when it comes to biased data. Left unchecked, feeding biased data to self-learning systems can lead to unintended and sometimes dangerous outcomes.

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Building a Robotic Colleague With Personality

Researchers are exploring how to create intelligent machines that work with us better as opposed to taking our place. Robots that can express human body language can have a positive effect on their human colleagues, enabling them to be more effective at their jobs, take on higher-level tasks, and realize psychological benefits. The overall result is a more productive human-robot team.

How Emotion-Sensing Technology Can Reshape the Workplace

New emotion-sensing technologies can help employees make better decisions, improve concentration, alleviate stress, and adopt healthier and more productive work styles. But companies must address important privacy issues.

Surviving a Day Without Smartphones

For young adults accustomed to continually checking their cellphones, even a single day without access to them can be anxiety-producing. What are the implications for executives about managing this constantly connected generation – and their devices – in the workplace?

Are AI Learning Scenarios Unpredictable Enough?

AI’s strength is processing input from many signals quickly to build an accurate short-term estimate of what will happen. But sooner or later, AI must confront the dark side of human behavior in real-world situations — where people don’t always respond in ways that make sense. The concern: When people know what AI will do, but AI can’t predict how people may behave, there’s an opportunity to “game the system” in ways that hurt businesses that use AI.

AI in the Boardroom: The Next Realm of Corporate Governance

Business has become too complex for boards and CEOs to make good decisions without intelligent systems. Just as artificial intelligence helps doctors use patient data to make better diagnoses and create individualized medical solutions, AI can help business leaders know more precisely which strategy and investments will provide exponential growth and value in an increasingly competitive marketplace.

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Reshaping Business With Artificial Intelligence

Disruption from artificial intelligence (AI) is here, but many company leaders aren’t sure what to expect from AI or how it fits into their business model. Yet with change coming at breakneck speed, the time to identify your company’s AI strategy is now. MIT Sloan Management Review has partnered with The Boston Consulting Group to provide baseline information on the strategies used by companies leading in AI, the prospects for its growth, and the steps executives need to take to develop a strategy for their business.

When Jobs Become Commodities

Most of us view our jobs as specialized or somehow differentiated, but the world of business and management increasingly feels otherwise. For many organizations today, the next big driver of job commoditization is automation driven by smart machines. Simply put, if a job is viewed as a commodity, it won’t be long before it’s automated. The key for workers whose jobs have traditionally seemed safe: Highlight the tasks that require a human touch.

The Fundamental Flaw in AI Implementation

Many managers are excited about smart machines but are struggling to apply machines’ limited intelligence. Indeed, computers can process data just fine, but to generate competitive advantage from machine learning applications, organizations must upgrade their employees’ skills. Companies will also need to redesign employee accountabilities to empower and motivate them to deploy smart machines when doing so will enhance outcomes.

When People Don’t Trust Algorithms

Even when faced with evidence that an algorithm will deliver better results than human judgment, we consistently choose to follow our own minds. Why? MIT Sloan Management Review editor in chief Paul Michelman sat down with the University of Chicago’s Berkeley Dietvorst to find out.

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