Nov 4, 2020

Don’t let cold efficiency replace human emotion too soon

AI
Machine Learning
ethics
BSBI
Chad Manian
4 min
ai robot
Is consumer-facing AI overreaching in its quest to deliver more sales. Chad Manian argues users should be careful what they sign up for...

Increasingly, more people are dependent on intelligent algorithms and AI for their daily lives. Algorithms play a large role in people’s search patterns, online shopping and YouTube browsing among other uses. It is not the use of smart devices but the general infrastructure and culture of convenience that is difficult to do without. Artificially intelligent systems work automatically based on our online behaviour patterns to give us the best options before we ask for them. This has prompted concerns from users and people in general. What would be the impact of having machines with self-governing intelligence yet lacking in human morality or a conscience?

This was the plot in films like Terminator and other apocalyptic scenarios which see humanity being overcome by artificial intelligence. This would be cold efficiency replacing flawed humanity. The most famous example being the restaurant in China that has no employees. One single robot both manages the food machine and delivers to the tables after taking payment. This scenario sparked major criticism in the West but is quite conceivable. The modern question about safety is now replaced by trust.  

Non-living objects of code

Can we really put our trust in machines that act coldly without compassion or emotion and make life and death decisions based only on logical processes? The danger of intelligent systems that evolve to autonomous decision-making lies in ethics or, rather, the lack of ethics. We, as human beings, are more comfortable trusting other human beings who rely on conscience and would act from an ethical level. Doctors, soldiers, politicians or police officers who make life and death decisions always have years of training, experience, guidance and rules that are designed to make them exercise ethics and humanity in decision-making. Machines, algorithms and AI neural-network systems may be exceptionally efficient but are essentially non-living objects of code and rules, lacking consciousness and the ability to feel.

What separates human beings from all other animals is the ability to feel, think, reason and agonise over matters of conscience and consequence. Machines that can reason, judge and execute without recourse to conscience or consequence would be a most formidable enemy. Philosophers and religions for centuries have attempted to instil ethical thinking and moral/harmless behaviour which is now being overthrown by the mechanisation drive through technology. Ethics is defined by the ancient Greeks as “orderly behaviour that is accepted by society”. Today’s situation would give the Greeks a reason to despair.  

We now use drones and advanced AI systems to wage wars across nations. We use AI to tell us what to buy and where to shop. There is now a decline of ethical behaviour led by the big tech giants who champion the AI cause. The advent of social media, in its unstoppable rise to power, has made big tech firms the power brokers. The launch of global events like protests, uprisings and elections across the world through social media have made technology more indispensable.

The price of convenience and connectivity

Now, more than previous generations, technology plays a vital role in our personal and professional lives. Unethical behaviour has become the norm, witnessed by the conduct of tech firms. The drive to connect is what gave algorithms power over us. People invested in smart devices like smartphones, tablets and portable machines due to the convenience and because everyone they knew socially was using one. Now, they are looking at wearable devices and the next iteration could be embedded or implantable technology. As AI and augmented reality grows, the more likely people’s data will become a contentious issue.  

The recent censorship power exercised by big tech has become a debated topic. This unethical conduct needs wider debate involving society at large. The power of private firms and censorship rights and privileges of unelected, unethical CEOs armed with AI parameters (limiting free speech) are among the most important conversations of our time. What gave private firms power to decide what we can or cannot say, share, read or hear?  

We did! The moment we consented to give our details and clicked ‘agree’. The power that any firm has over us is the power that we, as users, agreed to give them and it is up to us to decide not to consent or stop them from taking liberties with peoples’ rights. Violation of any kind, be it data collection, privacy breach or censorship – which is the latest offence without consequence, can only happen if we allow it to.

Given the speed of digital evolution, will AI, Web 2.0 (which has given way to Web 3.0),  IOT and embedded technology be the solution or the threat to our existence? Experts argue that unless we get control over the rate of change in innovation, we will become the victims of our own creation.

Chad Manian is a lecturer at Berlin School of Business and Innovation (BSBI)

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Jun 10, 2021

Google is using AI to design faster and improved processors

AI
ML
Google
processors
2 min
Google scientists claim their new method of designing Google’s AI accelerators has the potential to save thousands of hours of human effort

Engineers at Google are now using artificial intelligence (AI) to design faster and more efficient processors, and then using its chip designs to develop the next generation of specialised computers that run the same type of AI algorithms.

Google designs its own computer chips rather than buying commercial products, this allows the company to optimise the chips to run its own software, but the process is time-consuming and expensive, usually taking two to three years to develop.

Floorplanning, a stage of chip design, involves taking the finalised circuit diagram of a new chip and arranging the components into an efficient layout for manufacturing. Although the functional design of the chip is complete at this point, the layout can have a huge impact on speed and power consumption. 

Previously floorplanning has been a highly manual and time-consuming task, says Anna Goldie at Google. Teams would split larger chips into blocks and work on parts in parallel, fiddling around to find small refinements, she says.

Fast chip design

In a new paper, Googlers Azalia Mirhoseini and Anna Goldie, and their colleagues, describe a deep reinforcement-learning system that can create floorplans in under six hours. 

They have created a convolutional neural network system that performs the macro block placement by itself within hours to achieve an optimal layout; the standard cells are automatically placed in the gaps by other software. This ML system should be able to produce an ideal floorplan far faster than humans at the controls. The neural network gradually improves its placement skills as it gains experience, according to the AI scientists. 

In their paper, the Googlers said their neural network is "capable of generalising across chips — meaning that it can learn from experience to become both better and faster at placing new chips — allowing chip designers to be assisted by artificial agents with more experience than any human could ever gain."

Generating a floorplan can take less than a second using a pre-trained neural net, and with up to a few hours of fine-tuning the network, the software can match or beat a human at floorplan design, according to the paper, depending on which metric you use.

"Our method was used to design the next generation of Google’s artificial-intelligence accelerators, and has the potential to save thousands of hours of human effort for each new generation," the Googlers wrote. "Finally, we believe that more powerful AI-designed hardware will fuel advances in AI, creating a symbiotic relationship between the two fields.

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