Skip to main content

Bots Meet AI—How Intelligent Are Bots Really?

 Chatbots are currently being boosted with the performance attribute AI.

However, most bots at present are being implemented in a relatively trivial

way. As a rule, certain keywords are scanned for on Twitter and Facebook,

on the basis of which predefined texts or text modules are then automatically played out. Somewhat more intelligent are systems that automatically detect relevant text findings on the Internet and then put them together

accordingly to form a post.

This automatic form of content curation is also discussed under the term

robot journalism. For the chatbots to be able to capture the posts accord-

ingly, the in the meantime significantly advanced processes of natural

language processing (NLP) which transform the running text into corre-

sponding semantics and signal words, are used.

Another approach is to connect the chatbots to knowledge databases. To

the user, chatbots seem to be “intelligent” due to their informative skills.

However, chatbots are only as intelligent as the underlying database.

Due to the advances in AI, chatbots can be by all means made more intel-

ligent in the future. AI-based chatbots learn largely independently from the

huge amounts of data available online and recognise question-and-answer

patterns that they use automatically in customer communication. The exam-

ple of Microsoft Tay mentioned shows, however, that the uncontrolled train-

ing of the bots by the community can lead to fatal consequences. The next

generation of AI-based bots must control and create the possible room for

communication.

With that, the degree of information supply is directly associated with the

degree of intelligence and automation of the bot. The present-day (usually

unintelligent) chatbots are fed the keywords, knowledge modules, texts and

rules of their developers/programmers. The more intelligent form of bots

obtains this information themselves from online sources and combines it to

form new content. The AI-based bots are also fed by the answers and reac-

tions of the users. The possibility of controlling thus also sinks for the infor-

mation used for learning.

Important food besides contents is also social signals such as likes and

followers. These enhance or reduce the impact of chatbots. This feedback

information can also come from other bots. So-called bot armies can make

contents and opinions go viral within a short time and thus automatically

set topic and agenda trends.



At the beginning, bots were able to answer simple, repetitive questions

that follow simple rules such as “What is the weather like today?” With the

advances in artificial intelligence and machine learning, bots can now take

over more demanding tasks. The idea of the bot goes back to the 1950s

when Alan Turing, a former researcher in computer intelligence, presented

a test to test the intelligence of machines. This is known to this day as the

Turing test and works as follows: If more than 30% of an experimental

group are convinced that they are having a conversation with a human and not with a computer, an intellectual power on a par with that of humans is

assumed of the machine.

Comments

Post a Comment

Popular posts from this blog

Customer Engagement with Chatbots and Collaboration Bots: Methods, Chances and Risks of the Use of Bots in Service and Marketing

 Relevance and Potential of Bots for Customer  Obtaining information, flight check-ins or keeping a diary of one’s own diet—all of this is possible in dialogue today. Customers can ask questions via Messenger or WhatsApp or initiate processes. This service is comfortable for the customer, available at all times via mobile and promises fast answers or smooth problem-solving. A meanwhile strongly increasing number of companies is already relying on this means of contact and the figures on chat usage speak in favour of this means supplementing or even replacing many apps and web offers in the future. The reasons for this are manifold. Figures of the online magazine Business Insider 1 reveal a clear develop- ment away from the public post to the use of private messaging services such as Facebook Messenger or WhatsApp. Facebook meanwhile has a user base of around 1.7 billion people worldwide; 1.1 billion people use WhatsApp, and Twitter can nevertheless still record 310 million us...
Post a Comment
Read more

Robot Journalism Is Becoming Creative

 Algorithms are able to automatically search the Web for information, pool it and create a readable piece of writing. In addition, data-based reports in the area of sport, the weather or finances are already frequently created automat- ically today. Recently, for example, merely a few minutes after Apple had announced their latest quarterly figures, there was a report by the news agency Associated Press (AP): “Apple tops Street 1Q forecasts”. The financial report deals solely with the mere financial figures, without any human assistance whatsoever. Yet, AP was able to publish their report entirely via AI in line with the AP guidelines. For this purpose, AP launched their corresponding platform Wordsmith at the beginning of 2016, which automatically creates more than 3000 of such financial reports every quarter, and which are pub- lished fast and accurately. It is no longer that easy to distinguish between whether an algorithm or a human has written a text. Another exception of rece...
Post a Comment
Read more

A Bluffer’s Guide to AI, Algorithmics and Big Data

 Big Data—More Than “Big” A few years ago, the keyword big data resounded throughout the land. What is meant is the emergence and the analysis of huge amounts of data that is generated by the spreading of the Internet, social media, the increasing number of built-in sensors and the Internet of Things, etc. The phenomenon of large amounts of data is not new. Customer and credit card sensors at the point of sale, product identification via barcodes or RFID as well as the GPS positioning system have been producing large amounts of data for a long time. Likewise, the analysis of unstructured data, in the shape of business reports, e-mails, web form free texts or customer surveys, for example, is frequently part of internal analyses. Yet, what is new about the amounts of data falling under the term “big data” that has attracted so much attention recently? Of course, the amount of data avail- able through the Internet of Things (Industry 4.0), through mobile devices and social media has ...
Post a Comment
Read more