How Knight Rider Predicts the Future of AI-Enabled Autonomous Cars

The automobile industry is about to experience transformative disruption as traditional carmakers respond to the Tesla challenge. The battle is not just about whether to go from combustion to electric but it extends the whole concept of motorized mobility. E-bikes, car-sharing, and autonomous driving are displacing the centrality of cars as not just a means of transportation but also a source of status and identity. The chip shortage also demonstrated the growing reliance on computers, exposing the limits of growth as cars become more and more computerized. In this world of uncertainties, could Knight Rider shed some light on the future of autonomous cars?

As a kid, I dreamed of having a (Knight Industries Two Thousand) KITT, a car that would work on my voice command. Little did I know that many of the traits in the show are now, nearly 40 years later, becoming a reality. To be sure, the show did not age well in some aspects (David Haselhoff sense of fashion for one and the tendency to show men’s bare hairy chest). Yet, on the car tech, they actually hit a few home runs. In this blog, I want to outline some traits that came up in the show that turned out to be well aligned with the direction of car development today.

Lone Ranger Riding a Dark Horse

Before proceeding, let me give you a quick intro to Knight Rider‘s plot. This 1980’s series revolves around the relationship between Michael, the lone ranger type out to save the world and his car KITT. The car, a supped-up version of a Pontiac Trans Am, is an AI-equipped vehicle that can self-drive, talk back to its driver, search databases, remotely unlock doors, and much more.

In the intro episode, we learned that Michael got a second chance in life. After being shot in the face by criminals, he undergoes plastic surgery and receives a new identity. Furthermore, a wealthy man bequeaths him the supercar along with the help of the team that built it to provide support. At his death bed, the wealthy magnate tells Michael the truth that will drive his existence: “One man can make a difference.”

Taken from Wikipedia

Yes, the show does suffer from an excess of testosterone and a royal lack of melanin.

Yet, I contend that Michael is not the main character of the show. KITT, the thinking car steals the show with wit and humor. The interaction between the two is what makes an average sci-fi flick into a blockbuster success. You can’t help but fall in love with the car.

Knight Rider Autonomous Car Predictions

  • Auto-pilot – this is the precursor of autonomous driving. While systems to keep speed constant has been common for decades, true autonomous driving is a recent advance. This is now an option for new Tesla models (albeit at a hefty $10K additional) and also partially present in other models such as auto parking, lane detection and automatic braking. This feature was not hard to predict. Maybe the surprise here is not that it happened but how long it took to happen. I suspect large auto-makers got a little cozy with innovation as they sold expensive gas-guzlers for most of the 90’s and early 00’s. It took an outsider to force them back into research.
  • Detecting drivers’ emotions – At one point in the debut episode, KITT informs Michael that his emotional state is altered and he might want to calm down. Michael responds angry that the car would talk back to him. While this makes for a funny bit it is also a good prediction of some recent facial recognition work using AI. Using a driver’s facial experession alone is sufficient to assertain the indivudal’s emotional state. There is a lot of controversy on this one but the show deserves credit for its foresight. Maybe a car that tells you to “calm down” may be coming your way in the next few years.
Image extraction from Coded Bias
  • Remote manipulation of electronic devices – This is probably the most far-sighted trait in the show. Even this day it is difficult to imagine automated cars that can interact with the world beyond its chassis. Yet, this is also in the realm of possibility. Emerging Internet of Things (IOT) technology will make this a reality. The idea is that devices, appliances and even buildings can be connected through the Internet and operate algorithms in them. It envisions a world where intelligence is not limited to living beings or phones but all objects.

Conclusion

Science Fiction works capture the imagination of the time they are written. They are never 100% accurate but sometimes can be surprisingly predictive. Show creators did not envision a future of flat screens and slick dashboard designs as we have today. On the other hand, they envisioned aspects of IOT and emotional AI that we unimaginable at the time. In this case, besides being entertainment, they also help create a vision of a future to come.

from Wikipedia.com

Reflecting on this 40 year-old show made me wonder about current Sci-fi and their own visions of what is to come. How will coming generations look back at our present visions of their time? Will we reveal our gross blind spots like Knigth Rider while male individualism? Will we inspire future technology such as IOT?

This only highlights the importance of imagination in history making. We build a future now inspired by our contemporary dreams . Hence, it is time we start asking more questions about our pictures of the future. How much to they reflect our time and how much do they challenge us to become better humans? Even more importantly, do they promote the flourishing of life or an alternative cyber-punk society? Wherther it Knight Rider depiction of autonomous cars or Oxygen‘s view of cryogenics, they reflect a vision of a future captured at historical time.

4 Surprising Ways Emotional AI is Making Life Better

It’s been a long night and you have driven for over 12 hours. The exhaustion is such that you are starting to blackout. As your eyes close and your head drops, the car slows down, moves to the shoulder, and stops. You wake up and realize your car saved your life. This is just one of many examples of how emotional AI can do good.

It doesn’t take much to see the ethical challenges of computer emotion recognition. Worse case scenarios of control and abuse quickly pop into mind. In this blog, I will explore the potential of emotional AI for human flourishing through 4 examples. We need to examine these technologies with a holistic view that weighs their benefits against their risks. Hence, here are 4 examples of how affecting computing could make life better.

1. Alert distracted drivers

Detecting signs of fatigue or alcohol intoxication early enough can be the difference between life and death. This applies not only to the driver but also to passengers and occupants of nearby vehicles. Emotional AI can detect blurry eyes, excessive blinking, and other facial signs that the driver is losing focus. As this mental state is detected early, the system can intervene through many means.

For example, it could alert the driver that they are too tired to drive. It could lower the windows or turn on loud music to jolt the driver into focus. More extreme interventions would include shocking the drivers’ hands through the steering wheel, and also slowing or stopping the car in a safe area.

As an additional benefit, this technology could also detect other volatile mental states such as anger, mania, and euphoria. This could lead to interventions like changing temperature, music, or even locking the car to keep the driver inside. In effect, this would not only reduce car accidents but could also diminish episodes of road rage.

2. Identify Depression in Patients

As those who suffer from depression would attest, the symptoms are not always clear to patients themselves. In fact, some of us can go years suffering the debilitating impacts of mental illness and think it is just part of life. This is especially true for those who live alone and therefore do not have the feedback of another close person to rely on.

Emotional AI trained to detect signs of depression in the face could therefore play an important role in moving clueless patients into awareness. While protecting privacy, in this case, is paramount, adding this to smartphones or AI companions could greatly help improve mental health.

Our faces let out a lot more than we realize. In this case, they may be alerting those around us that we are suffering in silence.

3. Detect emotional stress in workplaces

Workplaces can be toxic environments. In such cases, the fear of retaliation may keep workers from being honest with their peers or supervisors. A narrow focus on production and performance can easily make employees feel like machines. Emotional AI systems embedded through cameras and computer screens could detect a generalized increase in stress by collecting facial data from multiple employees. This in turn could be sent over to responsible leaders or regulators for appropriate intervention.

Is this too invasive? Well, it depends on how it is implemented. Many tracking systems are already present in workplaces where employee activity in computers and phones are monitored 24-7. Certainly, this could only work in places where there is trust, transparency and consent. It also depends on who has access to this data. An employee may not be comfortable with their bosses having this data but may agree to ceding this data to an independent group of peers.

4. Help autistic children socialize in schools

The last example shows how emotional AI can play a role in education. Autistic children process and respond to social queues differently. In this case, emotional AI in devices or a robot could gently teach the child to both interpret and respond to interactions with less anxiety.

This is not an attempt to put therapists or special-needs workers out of a job. It is instead an important enhancement to their essential work. The systems can be there to augment, expand and inform their work with each individual child. It can also provide a consistency that humans also fail to provide. This is especially important for kids who tend to thrive in structured environments. As in the cases above, privacy and consent must be at the forefront.

These are just a few examples of the promise of emotional AI. As industries start discovering and perfecting emotional AI technology, more use cases will emerge.

How does reading these examples make you feel? Do they sound promising or threatening? What other examples can you think of?