Momo is a marginal figure in the Olympus. Only once, in a famous fable of Aesop, the God of quibbling has a large presence: as judge of the works of Zeus, Athena, and Prometheus. At all Momos what has suspend, at Zeus ‘bull (no eyes on the horns) on Athena’s house (no wheels for the move) and of course to Prometheus’ Man: Why only carries the no window on the chest, so that one a probing take look into his soul, can recognize his character and read his mind? It is known that Zeus sent the annoying whiners of Olympus. But Momos’ idea, even in the world, could not banish. His window man made his career and continues to fascinate – as transparency promise and nightmare
First of all Enlightenment and Romantic expect to much from the window people. Political transparency and scientific progress, a direct view of the thinking and feeling, direct access to reason and passion, in short, the overcoming of falsehood, superstition, prejudice
series “economic worlds 2025″
Nothing will remain as it is. The Internet is changing our economy, our society, the whole life. Data Analysis replaced gut feeling (Big Data), eyeglasses speak with cars (IoT). Companies must reinvent markets re-form (information economics revolution). What does this mean for work, mobility, money, medical care? And what will become of us? . In the short text gallery you will find all appeared in the series products
Artificial intelligence: Geniuses off the assembly line
For a long time thinking computer just science fiction. But the smart machines already answered e-mails, plan our vacation and work as an interpreter. Soon they are smarter than we are – and can take any job. . Click here for the article
Germany lacks the vision of a digital society
Many people are afraid of being replaced as part of the digitization of machines. But this fear clouds the view of the benefits of new technologies, writes
The machines bring us a
machine learning from data, and very quickly. It is good that we assume have them something crucial, says Viktor Mayer-Schönberger
robots take over the control
technology must be restricted
Artificial Intelligence, is meaningless. But if it is not limited, it will not only bring us a tremendous advantage – but also enormous disadvantages, writes Gary Marcus
- <. h5 class="HCF-triangle-right"> machines are not incite revolts
Intelligent machines will change the world of work. It could lead to revolts. But not by the machine – but by the people who were replaced by machines, warns Patrick Ehlen
Will kill us robots
We will keep in the future control of machines – if we act wisely and humanely. That is possible. . But by no means certain, writes David Gelernter
True artificial intelligence is everything Change
If the end of 40,000 years, Homo sapiens sapiens dominated by the story in sight? . Self-learning artificial neural networks perform some task already better than people
Man and Machine grow together
Important ethical questions are yet unanswered only. They are not even asked warns Bernhard Rohleder .
The machine is approaching a point at which there is no turning back. . As a stored-program computer, the first commands could run the machines began to take control, writes George Dyson
robots to companions and colleagues
robots could assist us one day as colleagues or fellow believes the scientist Guy Hoffman. ? But we want to allow the machines to how much control
How is performed in the future war
So experienced a yogurt industry 4.0choose
Machinery, workpieces give orders: The digital factory promises the approach to the extreme of production without man. German companies must be careful that the US does not arrive before them in the future. Read here what about the industry 4.0 in Germany.
utopia of a harmonious moral society ?
The window man symbolizes the utopia of a harmonious moral society in which individuals encounter naturally undisguised (Jean-Jacques Rousseau), introspective conscience surveys (Immanuel Kant), mysteriously free to expect “truth” (Jean-Paul Sartre). And of course he is the perfect metaphor of domination-free internet where information, knowledge, knowledge – and the belief in a better world order with scattered institutional power – circulate.
On the other hand, has aroused Observations-, control and omnipotence fantasies Momos’ window man. They range from Jeremy Bentham’s panoptic prisons and workhouses in the 19th century on the application of “Psychoskopen” and “brain mirrors” in fantasy novels, to the modern Big Data visions of intelligence and data companies, and soul records and purchase whims of citizens Read customer. This is the deciphering of the subjects who were people of Robespierre of the French Revolution and the officers of the State Security in the GDR in the hands of identifiable (state), as last transferred mainly to anonymous machines in his hand closed private companies.
What are the consequences? If, after work I also leisure I prey of capitalism? Taking the totality of the people were like in character? Is threatening the transparent, I subject illustrative of the Enlightenment – an irony of history – in the objective transparency of its data dissolve? An answer in three theses:
The fact that we are not masters of their own home – a gift, it has already taught us Sigmund Freud. The crucial difference in an altered self-relation. While a denuded subconscious us to open new avenues, what we think is our ego, we meet in the digital echo chamber as entäußerlichte person and be treated as such. As a result, the boundary between subject and object dissolves.
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algorithms or self-determined life?
No longer do we even design our biography and determine our decisions, but there are algorithms that according to our preferences through the guide us, what we think romantically (yet) for our own lives. The reason is simple: In the post-knowledge society information for humans are not exploitable commodity anymore, but the man himself is the information (and thus exploitable commodity). No one is data in the digital consumer capitalism; we all are always data producers.
Intelligent machines collect incessantly primary data (emails, Skype conversations, blog content, et cetera) and cheap running our tracks from (for example, motion profiles in networked cars, sensors in homes, locating features in smartphone applications) , You merge the information into data units, process them into assumptions and forecasts and degrade us thus predictable sizes – to objects of machines: data I eat on