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Liza Dixon ⚡️ Profile picture
@lizadixon
Oct 1, 2020 • 4 tweets • 4 min read • Read on X
.@EuroNCAP has announced its new Assisted Driving Grading system which takes a holistic approach to sys evaluation by including "Driver Engagement" in its rating, to "help consumers" &to "compare assistance performance @ the highest level."

euroncap.com/en/press-media… ht @sascha_p Image
This is a win for human-automation interaction/HMI researchers who have been working for decades to explain how important teaming is and the consequences of broken control loops.

This is a win against #autonowashing, and ultimately a big win for consumer transparency & safety!
Further, @EuroNCAP also released the results of their 2020 Assisted Driving Tests with the new grading system and gave ten different ADAS systems a rating:

- Very Good
- Good
- Moderate
- Entry

The results...
1. Very Good
- @MercedesBenz GLE
- @BMW 3 Series
- @AudiOfficial Q8

2. Good
- @Ford Kuga

3. Moderate
- @Tesla Autopilot
- @VW Passat
- @Nissan Juke
- @volvocars V60

4. Entry
- @Groupe_Renault Clio
- @Peugeot 2008

euroncap.com/en/vehicle-saf…

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More from @lizadixon

Liza Dixon ⚡️ Profile picture
Aug 9, 2022
Why is this so cringey?

🧵
The reason that this is so cringey (besides the obvious) is that due to #autonowashing and other factors, many people wrongly believe that L2 Advanced Driver Assistance Systems are capable of reliably detecting stationary objects. They are not.
Our mental models (the knowledge we conceptualize about the systems we use before, during, and after we use them to aid in our understanding & use) are often based on a number of assumptions—some true, some false—and with time & experience better align with the intended model
Read 6 tweets
Liza Dixon ⚡️ Profile picture
May 10, 2021
This might be one of the most important articles ever written about #autonowashing.

Please read, especially if you have doubted the relevance of this problem.

👇👇👇

cleantechnica.com/2021/05/09/tha… via @JenniferSensiba $TSLA
Autonowashing is a concern for us all, because its consequences have the potential to effect us all.

Those who want to see driving automation advance & succeed—especially, and no matter what companies you root for—have an interest in speaking out against this issue.
Autonowashing is *not* limited to any one entity. This problem is rampant across the industry.

Tesla is discussed in relation to autonowashing, proportionately, as they continue to do the most obvious autonowashing of any OEM.
Read 4 tweets
Liza Dixon ⚡️ Profile picture
May 8, 2021
HBD, #autonowashing! 🥳

One year ago today, "Autonowashing: The Greenwashing of Vehicle Automation” was published.

What is it?
What’s the objective?
What does it look like?
What are its effects?
Why did I do this?
Has it made a difference?

A thread 🧵

sciencedirect.com/science/articl…
Autonowashing makes a system appear to be more autonomous than it really is.

It is a misrepresentation of the appropriate level of human interaction required to operate a system safely.

This word is currently most often used in association with partial (L2) driving automation.
1️⃣ Why does it happen?

Well, there’s no good reason to confuse people about that capabilities of automation and their role in using it…especially safety-critical systems!

At its original source, autonowashing is a form disinformation and it is, in a sense, viral. Image
Read 25 tweets
Liza Dixon ⚡️ Profile picture
Apr 7, 2021
You've probably heard about the new documentary on Netflix, @seaspiracy, which is about the environmental impacts of commercial fishing.

I am going to watch it now and tweet some highlights. This is going to be important.

a thread 🧵
The oceans are home to up to 80% of *all life* on earth.

The vast majority of the ocean remains unexplored 😯

un.org/en/conferences…
Plastics are a prob. Dead animals are often found w/ plastic waste in their stomaches. Plastics also breakdown into invisible micro-particles which we then might consume. Emerging research on the effects of microplastics on our health doesn't look good.

pubmed.ncbi.nlm.nih.gov/30116998/#:~:t….
Read 28 tweets
Liza Dixon ⚡️ Profile picture
Sep 28, 2020
Self-driving is hard.

We have different ideas about how to “solve” for L5, and various teams are all taking shots at it. In recent years, two schools of thought have emerged about how to approach solving this problem.

🧵👇
For some it is either:

1) a fundamental AI problem which needs a new approach
2) a data problem, which can be solved by more data & more simulation
Some see the greatest challenge as developing the right AI approach.

Others believe that they already have the right approach, and therefore the challenge is acquiring more (and the right) data and doing more training.

Imo, there is some truth in both schools of thought.
Read 8 tweets
Liza Dixon ⚡️ Profile picture
Sep 22, 2020
As someone living through this pandemic who happens to study trust, human vigilance & behavior––it's entirely unsurprising that we're unable to maintain adequate COVID19 prevention measures. It's Psych 101 and it is why it's so important to have policies to help keep us in line.
It's the same with other safety-critical things (ex. vehicle automation); we need bounding boxes to keep us safe.

Human vigilance is like a muscle, but instead of getting stronger with use (+ as long as nothing bad happens) it weakens over time.
Therefore, what has been the most disturbing is watching the trust get knocked out of the policies we need to protect us, via their politicization and constant reversal and reimplementation.

Once trust is lost, it's hard to get back.
Read 4 tweets

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