The humanities can supply wisdom to guide our galloping technological progress.
Academic rigour, journalistic flair
Articles on Future of work
Displaying 41 - 60 of 93 articles
An upcoming study on workers in the gig economy suggests the future of work may be a lonely and uncertain one for many workers.
We are far from defenseless against the rise of robots, although they’ll take many of our routine jobs. Our special strength is our ability to apply rules that don’t exist.
Our inability to foresee the jobs of the future should be tempered by the realization that that jobs have always appeared in the past, regardless of technological advances.
If your job doesn’t currently involve automation or artificial intelligence in some way, it likely will soon. Computer-based worker surveillance and performance analysis will come, too.
Why you shouldn’t be afraid: it won’t steal our jobs or destroy the environment.
A number of banks are doomed to fail if they don’t adapt to the new realities of the finance industry.
Humans still have an edge over non-Hollywood AI in several key areas that are essential to journalism, including complex communication, expert thinking, adaptability and creativity.
A shift to outcomes-based education will enable students to gain critical automation-resistant competencies to succeed and thrive in the future workforce alongside AI.
How Indonesia can improve its policy on the future on work
As artificial intelligence increasingly intersects with our work and personal lives, we will need to adapt to survive in this new reality.
People – individually and in groups – were not as good at facial recognition as an algorithm. But five people plus the algorithm, working together, were even better.
While some alarmists predict AI will decimate the workforce, the truth is concerted action by leaders in labor, business, government and education can ensure workers aren’t replaced by robots.
An obsession with GDP growth fails to account for some of society’s most pressing problems.
As robotics, IoT, and other automation technologies grow in sophistication and commercial feasibility, jobs at nearly every skill level will be impacted.
Tech companies that have been wary to hire anyone over 30 are missing out on skilled workers.
Google DeepMind software can diagnose eye conditions as well as human doctors – and the medical profession should welcome this.
Most Australian workers are fairly relaxed about their own job security, but they do worry about the risks of poor management and outsourcing to cheaper labour.
Young people are the most vulnerable as industry and the labour market undergo radical change, but meeting this challenge could just be a matter of plugging existing gaps.
Automation could transform our working world. Here’s what we can do to ensure it is a more gender equal one.
Top contributors
-
Professor of Management, Co-Director of the MIT Sloan Institute for Work and Employment Research, MIT Sloan School of Management
-
Associate professor of work and employment, University of Southampton
-
Professor of Economics and Political Economy, University of Leeds
-
Professor of Community Information, University of Michigan
-
Research Manager, University of the Witwatersrand
-
Associate professor of management, York University, Canada
-
MBA Director & Assistant Professor of Organisational Behaviour, Bond Business School, Bond University
-
Workplace Futures Research Lead, Centre for the New Workforce, Swinburne University of Technology
-
Research Associate, School of Social Sciences, Monash University
-
DANCAP Private Equity Chair in Human Organization, Western University
-
Architect and academic, London Metropolitan University
-
Professor of Geography and Urbanization Science, Yale University
-
Senior Research Fellow in wellbeing at work, University of South Australia
-
Professor in Robotics, Queensland University of Technology
-
Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
