When It's Time for a Robot's Job Review


The presence of robots and other intelligent machines is only going to grow in our workplaces and in our personal lives. While plenty of people worry about robots putting them out of work, another consideration has to do with how we view those machines and their new jobs.

Research shows that we tend to view humanlike robots and software agents as real people, whether they are merely a voice on the phone or are crafted in a humanoid form factor with a face, arms and legs. Or, consider a situation where humans have to evaluate a robot's job performance.

The latter is a topic that MIT Sloan Management Center for Digital Business Research Fellow Michael Schrage has examined in a recent Harvard Business Review article. Will we be disappointed when an autonomous car doesn't drive the way that we do? Is that fair to the robot, or at least its designer? Will a robot in the workplace be held to the same key performance indicators (KPIs) as a human employee? Is that fair to the human employee?

Schrage, author of the books Serious Play, Who Do You Want Your Customers to Become? and The Innovator's Hypothesis, joins All Analytics Radio to discuss some of the ways that dealing with autonomous and intelligent machines will call for changes in our processes and our viewpoints. Designers, managers, owners, and "co-workers" might have to rethink how they deal with machines doing what once were human jobs.

Be sure to bring your questions and comments to the streaming audio page and join the discussion on the All Analytics text chat, Wednesday, April 27, at 1 pm (EDT).



Register Now

If you are already a registered user of AllAnalytics, please login to access this content without re-entering your information.
Sign up for our weekly newsletter here.
The Final Analysis: Digging Into the Business of Data
AllAnalytics' weekly newsletter compiles the latest thinking and wisdom around business data analytics -- what enterprises are doing with data, and exactly how they're doing it.
Email Address *
Username * - Choose carefully, your Username will identify you on our message boards. It cannot be changed after you register!
Choose Your Password *
Re-enter Password *
First Name *
Last Name *
Company Name *
Job Title *
Please select which best describes your job title: *
Please indicate the primary business activity at this location: *
If you selected "Other" above, please clarify your answer.
How many employees are in your entire organization? *
Address *
City *
State *
Zip Code *
Country *
Telephone *
Please indicate your agreement to the Privacy Policy and Terms of Use for this web site. *
I agree to abide by the Privacy Policy and Terms of Use. I also understand that the information I provide on this form will be shared with SAS (SAS Privacy Statement).
Occasionally our sponsors may want to send you information about exciting new products and services. If you would like to receive these solicitations, please check this box.
ExternalId
Latest Blogs
Visualizations help communicate the meaning behind analytics to a variety of users. Now virtual reality is taking that a step further.
You've heard all about the data science talent gap that McKinsey cited in 2011, but there's a lot more -- including new information -- that you need to know about McKinsey's ongoing research. Learn more Thursday on All Analytics Radio.
What hybrid automobile offers the highest MPG? It's not the Prius anymore. Take a look at these visualizations to find out the new leader.
Understanding retail customers means knowing what they will want and when they will want it. To deliver that, retailers must be able to see customer behavior across physical stores, the web, mobile apps, and more.
Chatbots, AI, virtual reality, machine learning, and more will be featured as leading edge technologies for retailers attending the NRF Annual Convention and Expo in New York City. But many retailers are still getting their arms around advanced analytics.
Radio Show
A2 Conversations
ARCHIVE
Jessica Davis
Analytics: Make the Most of Data's Potential in 2017


1/19/2017  LISTEN   19
ARCHIVE
Jessica Davis
A2 Radio: Can You Trust Your Data?


12/20/2016  LISTEN   70
ARCHIVE
James M. Connolly
Retail Analytics: See Where Style Meets Statistics


12/6/2016  LISTEN   53
ARCHIVE
James M. Connolly
Why the IoT Matters to Your Business


11/29/2016  LISTEN   45
ARCHIVE
James M. Connolly
Will Data and Humans Become Friends in 2017?


11/22/2016  LISTEN   40
ARCHIVE
James M. Connolly
We Can Build Smarter Cities


10/20/2016  LISTEN   31
ARCHIVE
James M. Connolly
Visualization: Let Your Data Speak


10/13/2016  LISTEN   70
ARCHIVE
James M. Connolly
How Colleges and Tech Are Grooming Analytics Talent


9/7/2016  LISTEN   56
ARCHIVE
James M. Connolly
How Machine Learning Takes Handwriting Recognition to New Levels


8/25/2016  LISTEN   40
ARCHIVE
AllAnalytics
A Look at Tomorrow's Data Scientist


8/9/2016  LISTEN   83
Information Resources
Quick Poll
Quick Poll
About Us  |  Contact Us  |  Help  |  Register  |  Twitter  |  Facebook  |  RSS