The Ontological Status of the Driver – or why we need to change the law

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In the debate on autonomous cars, one document keeps popping up: The Vienna Convention for Road Traffic from 1968, which is ratified across Europe. Most debators point to article 8 in zeroing in on the legislative hinderance to deploying autonomous systems to our roads.

I am actually a big fan of article 8. In my opinion, the real problem lies in article 1, and here is why.

Article 8 basically states two things:

  1. The driver should have knowledge of the vehicle in question

  2. The driver should have control of the vehicle in question.

Both of these stipulations make a lot of sense. But when we take a closer look things get a little blurry.

What kind of knowledge do we actually have about our vehicles? We normally presuppose that taking a driver’s license involves some kind of theoretical knowledge about what an engine is, how how brakes and instruments work, etc. But in reality, our knowledge of the vehicle is often very limited. I know that if red lights appear on my dashboard I have to pull over and call a mechanic. The mechanic will run diagnostic program after which the computer tells him what the car perceives as a problem, and he can then relay the message to me. So in reality, knowledge of the vehicle is highly distributed, and thoroughly dependent on computer systems.

What kind of control do we have, then? In a technical sense, control is understood as mastery of energy. When running this means controlling energy from the engine to the wheels, and when stopping this means controlling energy from the wheels to the brakes. But in reality, again, those controls are highly distributed and computerized. In both going and stopping the flow of energy of is controlled by computers way beyond my detailed understanding and control.

Knowledge and control are shared by humans and computers. If we can accept this fact of reality, the “driver” is simply understood as a combination of human and systemic controls, article 8 stays intact, and we can all move on. But this is where article 1 enters.

Article 1 clearly states that a driver is a person and this is the real problem.

It means that a person – and ONLY a person – can perform in the role of a driver. This stipulation obviously has deep legal consequences, e.g., concerning liability. But from a practical point of view this position is untenable.

The reality is that even today the notion of a driver (of knowledge and in control) is a distributed entity where a person alone cannot be said to meet the requirements. Looking ahead, this also implies that even a system with far more knowledge than the average license seeker and with superior driving skills will not be able to obtain a license for the road. Why? Because only persons are eligible for such a license. To me that does not make sense.

Will someone PLEASE rewrite article 1 to reflect what we actually want on our roads?

We owe it to ourselves and to our children to build better and safer transportation systems, and right now that means: discontinue the obsolete legacy law in favor of real world solutions that ensure safety inside and outside of our cars.

 

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Nedskæringer på universiteterne: Pas på hvor I sparer

Regeringen vil spare 8.700.000.000 kr på uddannelsesområdet over de næste fire år, heraf en del på landets universiteter.

Afbureaukratisering, bedre indkøbsaftaler og smartere anvendelse af IKT er noget af det, der peges på i den forbindelse. Og der er ganske givet besparelser at finde der. Men jeg frygter, at besparelserne i stedet (igen) vil gå ud over forskere og undervisere. Konsekvensen vil så være lavere kvalitet begge steder. Det er vi ikke tjent med, og vi kan faktisk ikke være det bekendt.

Jeg har arbejdet som forsker og underviser på universitetet fra 2001 til 2015 – som stipendiat, adjunkt, lektor og professor. Og i den tid har universiteterne undergået en række forandringsprocesser, der langt fra alle er til det bedre. Lad mig pege på et par stykker.

  • Mængden af administrativt arbejde er steget støt.
  • Skiftende bevillingsstrukturer har medført store udsving i studenteroptaget – med svingende kvalitet som uvægerlig følgesvend.
  • Et stigende antal medarbejdere er stressede i alvorlig grad.
  • Videnskabelige medarbejdere kan tjene mere i stort set alle andre stillinger end dem, de har på universiteterne.
  • Et stigende antal praktiske og administrative opgaver varetages i dag af videnskabeligt personale. Hvorfor? Fordi det er den billigste løsning.

Der er gode grunde til at frygte, at besparelser vil forværre den situation. Men jeg foreslår også gerne nogle spareområder:

  • Nedlæg forskningsrådene. De lokale faglige miljøer er stærke nok til at træffe kompetente beslutninger. Tanken om at en lav bevillingsprocent (acceptance rate) øger kvaliteten, har intet på sig.
  • Fjern fjollede evalueringssystemer. Et eksempel på en egentlig god ide, der er gået totalt bananas, er den ‘bibliometriske forskningsindikator’, hvilket på jævnt dansk betyder, at forskning bedømmes og belønnes, alt efter hvor den er publiceret. “Kvaliteten” afgøres via de såkaldte ‘autoritetslister’, og omsættes til point, der udløser penge til institutionerne. Konsekvensen er, at der helt åbenlyst spekuleres i point i stedet for faglig relevans. Alternativt kan man så stole på de faglige evalueringer, alle videnskabelige medarbejdere er underlagt i forvejen.
  • Undgå spildte ansøgninger. Der bruges store summer på at skrive ansøgninger i øst og vest, uden at det nogensinde bliver klart, hvorfor det er en god ide. I stedet kunne man give de fastansatte forskere et større beløb til deres arbejde, mod at de til gengæld lover ikke at skrive flere ansøgninger.

Der er mange dygtige og engagerede forskere og undervisere på landets universiteter. De udgør en stærk ressource, vi bør værne om – før det er for sent.

Tesla charger robot

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Finally! A solution to this conundrum: We have advanced infrastructure, we have advanced cars, yet we still have to manually refuel our cars :/ One of the silly leftovers from an age where people were supposed to serve machines.

Tesla have revealed a prototype of a robotic charger. It may not be the stable or final solution we need, but its definitely a step in the right direction.

 

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Selv-driving truck – Florida

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U.S. company Royal Truck & Equipment are almost ready to launch driver-less trucks on real roads. Testing is scheduled in Florida in 2015.

Besides remote and GPS navigation, the trucks are also equipped with “leader-follower” capabilities, which basically means that a truck can connect to a car in front of it and tag along.

Another important step in securing roads.

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Google photo mistakes people for gorillas

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@jackyalcine caused quite a stir on the web – and rightly so – when Google Photos tagged pictures of her friends as gorillas.

Thinking about this as an A.I. problem, I do understand how something like this could happen. It is actually not very surprising for computer vision algorithms to make this mistake. This is because such algorithms looks for patterns of pixels WITHOUT ANY UNDERSTANDING OF WHAT THEY REPRESENT.

For a human being, however, the mistake is completely unacceptable. And this is because humans ALWAYS think in terms of what is represented. This is why it is impossible for a human being to make this mistake.

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Mcity test facility for driverless cars

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U of Michigan has inaugurated a test facility for unmanned vehicles, comprised of a variety  of road types and “real world” obstacles that autonomous cars will encounter.

Good idea.

But I would like to point out that such projects MUST be accompanied by real world tests. There are a number of things that you will NEVER learn from simulation, be it soft or hard.

PS.: The idea of populating a test space with robots  that you can run over seems less than appealing to me. But perhaps I’m biased…

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Volvo: 100 Autonomous Cars with “non-drivers” in 2017

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Volvo says that by 2017 they will have 100 autonomous cars on the streets of Gothenburg. All of these cars will have “non-drivers” om board – human controllers that can intervene in case of an emergency.

This is definitely a step in the right direction. Autonomous cars holds great promise with respect to traffic safety and environmental concerns. One could ask: Is this ambitious enough? Thinking about the Volvo accident  (below) the answer is most likely yes.

but perhaps others can rise to the challenge?

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Unmanned Factory in Dougguan City

According to People’s Daily Online, China is accelerating the use of robots in the manufactory industri. Fast.

Prognoses are, that 90% of the work force will be replaced by robots in the foreseeable future.

unf

This will be an interesting project to follow, and a good indicator that we should be really careful in predicting the needs for work forces.

Android Erica

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One more android from ATR/Osaka U. In this latest instalment of the geminoid series, focus has been on conversational skills.

erica

As far as the face goes, I’d like to see more improvement of the mouth and eyes region. Looking at the video below it is apparent that especially the eyes need to have more subtle motions.

 

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Denmark 3rd most positive towards Autonomous Technology

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 Special Eurobarometer 427

In a recently published report, the European Commission has gauged attitudes towards robots throughout the member states. Here are a few of the results.

Would you consider purchasing a robot for your home?

  1. Sweden (48%)
  2. Finland (37%)
  3. Denmark (36%)
  4. The Netherlands (31%)

How comfortable would you be having a robot assist you at work?

  1. Sweden (77 %)
  2. The Netherlands (69 %)
  3. Denmark (65 %)
  4. The Czech republic (63 %)

How comfortable would you be as a passager in an autonomous or driverless car?
(comfortable + fairly comfortable)

  1. The Netherlands (53 %)
  2. Poland (52 %)
  3. Denmark (47 %)
  4. Sweden (47 %)

Denmark, Sweden, and the Netherlands consistently scores as the most positive towards robots and towards autonomous cars.

Good news, I think. Now is the time to start developing and implementing autonomous systems.

 

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