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I once worked at an IT-Service hotline. I answered a call like I always do and after my standard greetings phrase the customer said nothing so I asked, "Hello? Are you still in the line?" The customer replied, "Oh, wow! You are a real human! I thought it was a band announcement!" Later he explained that my voice was so perfect that he thought it was a remastered recording and that I could easily work as a radio moderator.

So you could say something like:

Oh wow your voice sounds so perfect/good/nice/great. You could work as a radio presenter/moderator.

With this you make him a compliment and don't offend him.

Just for clarification of the meaning: I didn't mean this compliment sarcastically.
The whole sarcasm thing just came up because I additionally mentioned that AIs in general are not so good in detecting sarcasm. Then a user asked in a comment for sources to that claim. That's why I added the sources about AIs and sarcasm.

  An AI probably can't answer that (in general). AIs in general are still pretty dumb and struggle when it comes to detecting irony.

Sources and additional information about AIs and sarcasm

1. Automatic Sarcasm Detection: A Survey

Coverage of different forms of sarcasm:
In Section 2, we described four species of sarcasm:
propositional, lexical, like-prefixed and illocutionary sarcasm. We observe that current approaches are limited in handling the last two forms of sarcasm: like-prefixed and illocutionary. Future work may focus on these forms of sarcasm.

• please note that this academic paper is about text recognizing
• written by Aditya Joshi (IITB-Monash Research Academy, India; IIT Bombay, India; Monash University, Australia), Pushpak Bhattacharyya (IIT Bombay, India), Mark James Carman (Monash University, Australia) 10 Feb 2016

2. #NOT Teaching AI how to be sarcastic is totally the easiest thing ever

So why is detecting and interpreting sarcasm such a hard task for AI?
Firstly, because it’s often difficult even for humans to comprehend.
…
For example, a machine may not be able to tell whether a smiley face is being used to indicate happiness, humor, or a sarcastic comment. Secondly, there’s the matter of conversational and situational context.
…
Thirdly, world knowledge is often needed to understand sarcastic comments.
…

• written by Dr. Diana Maynard (Research fellow at the University of Sheffield) October 06, 2016

I once worked at an IT-Service hotline. I answered a call like I always do and after my standard greetings phrase the customer said nothing so I asked, "Hello? Are you still in the line?" The customer replied, "Oh, wow! You are a real human! I thought it was a band announcement!" Later he explained that my voice was so perfect that he thought it was a remastered recording and that I could easily work as a radio moderator.

So you could say something like:

Oh wow your voice sounds so perfect/good/nice/great. You could work as a radio presenter/moderator.

With this you make him a compliment and don't offend him.

Just for clarification of the meaning: I didn't mean this compliment sarcastically.
The whole sarcasm thing just came up because I additionally mentioned that AIs in general are not so good in detecting sarcasm. Then a user asked in a comment for sources to that claim. That's why I added the sources about AIs and sarcasm.

An AI probably can't answer that (in general). AIs in general are still pretty dumb and struggle when it comes to detecting irony.

Sources and additional information about AIs and sarcasm

1. Automatic Sarcasm Detection: A Survey

Coverage of different forms of sarcasm:
In Section 2, we described four species of sarcasm:
propositional, lexical, like-prefixed and illocutionary sarcasm. We observe that current approaches are limited in handling the last two forms of sarcasm: like-prefixed and illocutionary. Future work may focus on these forms of sarcasm.

• please note that this academic paper is about text recognizing
• written by Aditya Joshi (IITB-Monash Research Academy, India; IIT Bombay, India; Monash University, Australia), Pushpak Bhattacharyya (IIT Bombay, India), Mark James Carman (Monash University, Australia) 10 Feb 2016

2. #NOT Teaching AI how to be sarcastic is totally the easiest thing ever

So why is detecting and interpreting sarcasm such a hard task for AI?
Firstly, because it’s often difficult even for humans to comprehend.
…
For example, a machine may not be able to tell whether a smiley face is being used to indicate happiness, humor, or a sarcastic comment. Secondly, there’s the matter of conversational and situational context.
…
Thirdly, world knowledge is often needed to understand sarcastic comments.
…

• written by Dr. Diana Maynard (Research fellow at the University of Sheffield) October 06, 2016

I once worked at an IT-Service hotline. I answered a call like I always do and after my standard greetings phrase the customer said nothing so I asked, "Hello? Are you still in the line?" The customer replied, "Oh, wow! You are a real human! I thought it was a band announcement!" Later he explained that my voice was so perfect that he thought it was a remastered recording and that I could easily work as a radio moderator.

So you could say something like:

Oh wow your voice sounds so perfect/good/nice/great. You could work as a radio presenter/moderator.

With this you make him a compliment and don't offend him.

  > Just for clarification of the meaning: **I didn't mean this compliment sarcastically.** The whole sarcasm thing just came up because I **additionally** mentioned that AIs in general are not so good in detecting sarcasm. Then a user asked in a comment for sources to that claim. That's why I added the sources about AIs and sarcasm.
An AI probably can't answer that (in general). AIs in general are still pretty dumb and struggle when it comes to detecting irony.

**Sources and additional information about AIs and sarcasm:**
1. [Automatic Sarcasm Detection: A Survey][1]

Coverage of different forms of sarcasm: In Section 2, we described four species of sarcasm: propositional, lexical, like-prefixed and illocutionary sarcasm. We observe that current approaches are limited in handling the last two forms of sarcasm: like-prefixed and illocutionary. Future work may focus on these forms of sarcasm.

• please note that this academic paper is about text recognizing.
• written by Aditya Joshi (IITB-Monash Research Academy, India; IIT Bombay, India; Monash University, Australia), Pushpak Bhattacharyya (IIT Bombay, India), Mark James Carman (Monash University, Australia) 10 Feb 2016

2. #NOT Teaching AI how to be sarcastic is totally the easiest thing ever

So why is detecting and interpreting sarcasm such a hard task for AI?
Firstly, because it’s often difficult even for humans to comprehend.
...
For example, a machine may not be able to tell whether a smiley face is being used to indicate happiness, humor, or a sarcastic comment. Secondly, there’s the matter of conversational and situational context.
...
Thirdly, world knowledge is often needed to understand sarcastic comments.
...

• Written by Dr. Diana Maynard (Research fellow at the University of Sheffield) October 06, 2016

I once worked at an IT-Service hotline. I answered a call like I always do and after my standard greetings phrase the customer said nothing so I asked, "Hello? Are you still in the line?" The customer replied, "Oh, wow! You are a real human! I thought it was a band announcement!" Later he explained that my voice was so perfect that he thought it was a remastered recording and that I could easily work as a radio moderator.

So you could say something like:

Oh wow your voice sounds so perfect/good/nice/great. You could work as a radio presenter/moderator.

With this you make him a compliment and don't offend him.

Just for clarification of the meaning: I didn't mean this compliment sarcastically.
The whole sarcasm thing just came up because I additionally mentioned that AIs in general are not so good in detecting sarcasm. Then a user asked in a comment for sources to that claim. That's why I added the sources about AIs and sarcasm.

An AI probably can't answer that (in general). AIs in general are still pretty dumb and struggle when it comes to detecting irony.

Sources and additional information about AIs and sarcasm

1. Automatic Sarcasm Detection: A Survey

Coverage of different forms of sarcasm: 
In Section 2, we described four species of sarcasm: 
propositional, lexical, like-prefixed and illocutionary sarcasm. We observe that current approaches are limited in handling the last two forms of sarcasm: like-prefixed and illocutionary. Future work may focus on these forms of sarcasm.

• please note that this academic paper is about text recognizing
• written by Aditya Joshi (IITB-Monash Research Academy, India; IIT Bombay, India; Monash University, Australia), Pushpak Bhattacharyya (IIT Bombay, India), Mark James Carman (Monash University, Australia) 10 Feb 2016

2. #NOT Teaching AI how to be sarcastic is totally the easiest thing ever

So why is detecting and interpreting sarcasm such a hard task for AI?
Firstly, because it’s often difficult even for humans to comprehend.
…
For example, a machine may not be able to tell whether a smiley face is being used to indicate happiness, humor, or a sarcastic comment. Secondly, there’s the matter of conversational and situational context.
…
Thirdly, world knowledge is often needed to understand sarcastic comments.
…

• written by Dr. Diana Maynard (Research fellow at the University of Sheffield) October 06, 2016

I once worked at an IT-Service hotline. I answered a call like I always do and after my standard greetings phrase the customer said nothing so I asked, "Hello? Are you still in the line?" The customer replied, "Oh, wow! You are a real human! I thought it was a band announcement!" Later he explained that my voice was so perfect that he thought it was a remastered recording and that I could easily work as a radio moderator.

So you could say something like:

Oh wow your voice sounds so perfect/good/nice/great. You could work as a radio presenter/moderator.

With this you make him a compliment and don't offend him. An AI probably can't answer that (in general). AIs in general are still pretty dumb and struggle when it comes to detecting irony.

1. Automatic Sarcasm Detection: A Survey

Coverage of different forms of sarcasm: In Section 2, we described four species of sarcasm: propositional, lexical, like-prefixed and illocutionary sarcasm. We observe that current approaches are limited in handling the last two forms of sarcasm: like-prefixed and illocutionary. Future work may focus on these forms of sarcasm.

• please note that this academic paper is about text recognizing.
• written by Aditya Joshi (IITB-Monash Research Academy, India; IIT Bombay, India; Monash University, Australia), Pushpak Bhattacharyya (IIT Bombay, India), Mark James Carman (Monash University, Australia) 10 Feb 2016

2. #NOT Teaching AI how to be sarcastic is totally the easiest thing ever

So why is detecting and interpreting sarcasm such a hard task for AI?
Firstly, because it’s often difficult even for humans to comprehend.
...
For example, a machine may not be able to tell whether a smiley face is being used to indicate happiness, humor, or a sarcastic comment. Secondly, there’s the matter of conversational and situational context.
...
Thirdly, world knowledge is often needed to understand sarcastic comments.
...

• Written by Dr. Diana Maynard (Research fellow at the University of Sheffield) October 06, 2016

I once worked at an IT-Service hotline. I answered a call like I always do and after my standard greetings phrase the customer said nothing so I asked, "Hello? Are you still in the line?" The customer replied, "Oh, wow! You are a real human! I thought it was a band announcement!" Later he explained that my voice was so perfect that he thought it was a remastered recording and that I could easily work as a radio moderator.

So you could say something like:

Oh wow your voice sounds so perfect/good/nice/great. You could work as a radio presenter/moderator.

With this you make him a compliment and don't offend him.

> Just for clarification of the meaning: **I didn't mean this compliment sarcastically.** The whole sarcasm thing just came up because I **additionally** mentioned that AIs in general are not so good in detecting sarcasm. Then a user asked in a comment for sources to that claim. That's why I added the sources about AIs and sarcasm.
An AI probably can't answer that (in general). AIs in general are still pretty dumb and struggle when it comes to detecting irony.

**Sources and additional information about AIs and sarcasm:**
1. [Automatic Sarcasm Detection: A Survey][1]

Coverage of different forms of sarcasm: In Section 2, we described four species of sarcasm: propositional, lexical, like-prefixed and illocutionary sarcasm. We observe that current approaches are limited in handling the last two forms of sarcasm: like-prefixed and illocutionary. Future work may focus on these forms of sarcasm.

• please note that this academic paper is about text recognizing.
• written by Aditya Joshi (IITB-Monash Research Academy, India; IIT Bombay, India; Monash University, Australia), Pushpak Bhattacharyya (IIT Bombay, India), Mark James Carman (Monash University, Australia) 10 Feb 2016

2. #NOT Teaching AI how to be sarcastic is totally the easiest thing ever

So why is detecting and interpreting sarcasm such a hard task for AI?
Firstly, because it’s often difficult even for humans to comprehend.
...
For example, a machine may not be able to tell whether a smiley face is being used to indicate happiness, humor, or a sarcastic comment. Secondly, there’s the matter of conversational and situational context.
...
Thirdly, world knowledge is often needed to understand sarcastic comments.
...

• Written by Dr. Diana Maynard (Research fellow at the University of Sheffield) October 06, 2016