Possible Limitations of AI-Based Bots

The examples above already show the present-day potential of AI-based bots.

At present, these systems are still in an early stage and still have certain limitations and potentials for optimisation.

Twitter Bot Tay by Microsoft

Most bots at present are reactive service bots. Engagement bots that actively

interact with the users as market and brand ambassadors go one step further.

The most famous example here is the chatbot Tay by Microsoft.

Microsoft removed Tay from the web apologetically within one day. The

example shows that the uncontrolled training of bots by the community can

lead to fatal consequences. AI systems still have to learn ethical standards.

It thus becomes apparent that even bots require a kind of guideline. Like

a journalist has to observe editorial guidelines, bots have to observe certain

standards. The next generation of AI-based bots must control and create the

possible room for communication.

IBM Watson has been able to celebrate quite a few respectable results in

the field of AI, such as winning the much-quoted Jeopardy game Champs

Of The Champions (all winners of Jeopardy competed against each other).

To make the system seem more human, the IBM researchers tried to add the

Urban Directory as training database. The Urban Directory contains colloquial language and slang.

The limitations of present-day AI are evident in the fact that the system

cannot really differentiate between obscenity and courtesy. Watson, for example, replied to a serious question a scientist asked with the word “bullshit”

that was certainly not adequate in this context. Humans are able to intuitively

conduct this interpretation and reasoning—present-day AI systems cannot.

(Chat)Bots as enablers of Conversational Commerce.

Comments

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 ...

Sales and Marketing Reloaded—Deep Learning Facilitates New Ways of Winning Customers and Markets

Sales and Marketing 2017 “Data is the new oil” is a saying that is readily quoted today. Although this sentence still describes the current development well, it ides not get down to the real core of the matter; more suitable would be “artificial intelligence empowers a new economy”. The autonomous automation of ever larger fields of tasks in the business world will trigger fundamental economic and social changes. Based on a future world in which unlimited information is available on unlimited computers, ultimate decisions will be generated in real time and processes will be controlled objectively. These decisions are not liable to any subjectivity, information or delays. In many sectors of the economy, e.g. the public health sector or the autonomous control of vehicles, techniques of artificial intelligence (AI) are applied and increase the quality, availability and integrity of the services offered. The same development can be observed in the field of sales and marketing. Today, ...

How Bots Change Content Marketing

When considering the future of content marketing, one aspect is of par- ticular significance that nobody who wishes to be successful in the long run should neglect: AI and bots will become game changers in a few years. Many of the former content strategies will be turned upside down by the new pos- sibilities and thus become a greater challenge to companies. Some experts thus speak of the death of the (former) content marketing by the AI algo- rithms. This is certainly an exaggeration, even if provided with a spark of truth. Content marketing itself is regarded as one of the most cost-effective mar- keting strategies that is asserting itself increasingly more worldwide. Even if it is not always easy to be visible on the Internet with one’s own content, one thing remains certain: Customers have a great need for information and want to be entertained. Despite the content shock, the best and most unique contents will always assert themselves somehow. If the demands on content change,...

Tech & Fun

Search This Blog