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Chatbots

Quiz by Aysima Cakmak

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Q 1/18
Score 0
Was ist ein Chatbot?
20
Ein textbasiertes Dialogsystem
Ein selbst sprechender Roboter
Ein echter Mensch
Ein Fake -Account auf Social Media
Q 2/18
Score 0
Welcher ist der meist genutzte Anwendungsbereich eines Chatbots?
20
Marketing
Produktpersonalisierung
Online Beratung
Kundenservice

18 questions

Q.

Was ist ein Chatbot?

1

20 sec

Q.

Welcher ist der meist genutzte Anwendungsbereich eines Chatbots?

2

20 sec

Q.

Was ist Amazon Alexa?

3

20 sec

Q.

Es gibt nur regelbasierte Chatbots.

4

20 sec

Q.

Regelbasierte Bots sind selbst lernende Bots.

5

20 sec

Q.

Selbst lernende Chatbots basieren allgemein auf ...

6

20 sec

Q.

Machine Learning ist ein Teilbereich der KI, mit denen Systeme auf bereits vorhandene Datenbestände zurückgreifen.

7

20 sec

Q.

Ein Vorteil eines Chatbots ist ...

8

20 sec

Q.

Ein Nachteil eines Chatbots entsteht wenn dieser fehlerhafte Algorithmen enthält.

9

20 sec

Q.

Ein Social Bot wird für die Manipulation von Online-Diskussionen eingesetzt.

10

20 sec

Q.

Wofür steht NLP?

11

20 sec

Q.

Wie nennt man auch gesteuerte, deterministische oder strukturierte Chatbots?

12

20 sec

Q.

Wie viele Funktionsschritte hat ein KI-Chatbot?

13

20 sec

Q.

Das Chatbot-Marketing führt zu einer hohen .....?

14

20 sec

Q.

Mercedes ersetzt mit dem Chatbot die ...?

15

20 sec

Q.

Welcher Chatbot ist preislich günstiger?

16

20 sec

Q.

Welcher Chatbot benötigt mehr Daten/mehr Zeit?

17

20 sec

Q.

In wie vielen Schritten erfolgt das Chatbot-Marketing

18

20 sec

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Nowadays, millions of us are turning to chatbots for emotional support. But can AI ever be capable of empathy? What about the consequences of people seeking emotional support from machines that can only pretend to care? Can the rise of so-called empathetic AI change the way we understand empathy and interact with one another？ The researchers found that the empathiser must first be able to perceive how the other person is feeling. They must also be affected by those emotions, feel them to some degree themselves, and differentiate between themselves and the other person. On the first point, in recent years, AI-powered chatbots have made progress in their ability to read human emotions. Most chatbots are powered by large language models (LLMs) that work by predicting which words are most likely to appear together based on training data. In this way, LLMs like ChatGPT can seemingly identify our feelings and respond appropriately most of the time. But when it comes to the other criteria, AI still misses the mark in many ways. Empathy is interpersonal, with continued cues and feedback helping to strengthen the empathiser’s response. It also requires some degree of intuitive awareness of an individual and their situation. Consider someone who cries while telling a doctor she is pregnant. If we know her history of trying for years to be pregnant, we can imagine that her tears mean something different than, say, if she didn’t want to have kids. Current AIs are incapable of understanding that kind of slight difference in emotion . The big question is whether AI can truly feel human emotions. Some think AIs might one day share our feelings. One approach is to continue enlarging LLMs with ever vaster and more diverse data and integrate multimodal data like facial expressions and voice. By doing this, AI may develop emotional capabilities. Currently, simple versions of these emotion-reading robots already exist. Yet, some scholars argue that you can’t really know what sadness is unless you have felt sad. “You need to have emotions to experience empathy,” says psychologist Michael Inzlicht at the University of Toronto in Canada. Genuine empathy emerges from social interactions and recognizing other minds - a complete phenomenon requiring consciousness , something AI lacks now and likely always will.
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