this post was submitted on 08 Jul 2023
159 points (100.0% liked)

Technology

37720 readers
338 users here now

A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.

Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.

Subcommunities on Beehaw:

This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.

founded 2 years ago
MODERATORS
alyaza@beehaw.org
TheRtRevKaiser@beehaw.org
gyrfalcon@beehaw.org
rs5th@beehaw.org
coldredlight@beehaw.org
Los@beehaw.org
SemioticStandard@beehaw.org
TheRtRevKaiser@kbin.social
remington@beehaw.org
159
Creative Good: Why customers don’t want chat bots (creativegood.com)
submitted 1 year ago by trashhalo@beehaw.org to c/technology@beehaw.org
48 comments fedilink hide all child comments
 

The author argues that customers do not actually want chat bots for customer service, contrary to what companies claim. Chat bots can only handle simple, routine queries, but for complicated issues customers want to speak to a human representative. Companies are pushing chat bots to reduce costs and increase profits, without considering the negative impact on customer experience. The author only sees chat bots as useful for customers when used to cancel subscriptions that require contacting customer service, showing how frustrating the current system is. The author believes we should build technology that customers actually want and would appreciate, rather than focusing on bad experiences or defending against them.

you are viewing a single comment's thread
view the rest of the comments
[–] ericjmorey@beehaw.org 1 points 1 year ago

We have LLMs that can do the more complex human tasks of figuring out problems and suggesting solutions and that can query a company database to respond correctly, but we don’t use them.

I don't think we have this at all. We have something that can sometimes appear to be that, but falls well short.