Let’s Redesign The Laptop For A Work-From-Home Era
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Let’s Redesign The Laptop For A Work-From-Home Era

We asked experts what improvements are coming—and what improvements they want.

By Dan Weil
Wed, Mar 10, 2021 4:59amGrey Clock 7 min

With remote work by and large here to stay, a lot of focus has turned toward the key work-from-home technology tool: the laptop. But relying so heavily on the laptop has raised all sorts of issues—from camera and sound quality to security and privacy.

What developments are coming to laptops to make remote work easier? And what developments should be coming? Here’s what a variety of experts had to say about that.

1. Improve the way we look on camera…

The better we get at videoconferencing, the more we notice bad videoconferencing and poor camera angles. Innovation in software will make us all look better on camera.

There’s already software to edit the view of the pupil of your eye so it looks like you’re focused on the camera. It’s not a big leap to think software will scan our faces and present a virtual camera view that shows us at our most flattering angle with a little motion thrown in for realism.

Going a step further, more workers who are in continuous meetings don’t want to stare into a camera or at a single screen all day. Having more than one camera—think a production studio for the home office—could enable meeting software to smoothly switch automatically from one camera to another depending on where you focus your eyes.

We should also see an evolution of tablet and laptop design to improve the way we look on camera. If you have a device with a detachable keyboard, you can already position your screen and its camera on a stand to get a better angle. Separating the laptop camera so you can put it anywhere is a logical step.

You already have another camera: your smartphone. With the right app, you can send smartphone-camera video to your computer, and, jumping through a hoop or two, get that video into a meeting. This could be more plug-and-play in the future, making the camera on your mobile device just another peripheral that you can put wherever you like for your computer to use.

Cameras under the screen are coming in smartphone design. That will make its way to laptops. We’ll look our colleagues right in the eye on screen and we won’t need to make any special effort.

—Adam Preset, senior research director, collaboration and employee experience, at GartnerInc., a research and advisory company

2. …And the way we sound

Perhaps the least-expensive and biggest-impact upgrade to current speaking/hearing systems on laptops would be better microphones. Not only does everyone on conferences sound echo-y and tinny, but it is hard to understand the words sometimes.

And, just as important, it can be difficult to hear those small sounds that signal approval, such as uh-huh; confusion, such as hmm; or when someone wants to speak, such as ah or mmm. The inability to hear these small signalling sounds makes conversations more stressful and less effective.

Real-time, artificial-intelligence analysis of conversations can solve this problem, providing additional cues that help people have more meaningful conversations. This really works and is available today.

In addition, research shows that the audio quality is just as important as video quality when judging the overall “quality” and “presence” of the conference experience. While microphone quality is most important to the audio experience, speaker quality is also a big factor. With additional speakers, one could have small group meetings that were much closer to the “natural” experience of in-person meetings. They would be so much less stressful and more effective.

—Alex “Sandy” Pentland, Toshiba professor of media arts and science, Massachusetts Institute of Technology

3. Better wireless connections

For most people the main form of connectivity for their laptop is wireless. Various forms of wireless connectivity are being substantially improved. The latest generation of Wi-Fi (Wi-Fi 6) hit the market in 2019. It offers increased speed, lower latency and the ability to more effectively share Wi-Fi spectrum with the ever-increasing number of connected devices in homes.

More recently, Wi-Fi 6E products have been announced that will use new spectrum at 6 GHz that the Federal Communications Commission recently made available for unlicensed access. This represents the biggest increase in spectrum for Wi-Fi in 20 years.

Looking forward, work has already begun on Wi-Fi 7. Each of these brings further performance improvements in speed and latency. In parallel, the rise of 5G cellular is enabling similar improvements for laptops equipped with 5G modems, with the added benefit of being able to easily connect when users venture out of their homes.

The improvements in Wi-Fi and 5G can enable laptops to support higher-quality videoconferencing and augmented-reality/virtual-reality applications. They will also allow users to unload much of their memory and computing into the cloud, resulting in thinner and lighter laptops with longer battery lives.

—Randall Barry, John Dever professor of electrical and computer engineering, Northwestern University

4. More, and better, screens

Screen sizes of individual devices are unlikely to get bigger, but the total amount of screen real estate will increase. People will prefer using multiple monitors for better multitasking—to access other applications while videoconferencing, for example.

People will benefit from software that can flexibly migrate their work across multiple screens, ranging from situated workstations to laptop computers to mobile devices. For instance, people might want to move their meeting to a different device to enable a walk outside or a move to the kitchen.

If there is a strong demand for working outside, software interfaces will have to become more adaptive, adjusting contrast and brightness.

We will need longer-lasting batteries to power brighter screens. And computer processors and operating systems need to be smarter to allocate resources from elsewhere if maximizing screen brightness is a higher priority. We might even see alternate display technologies (such as head-mounted retinal displays) that can avoid the impact of outdoor light.

—Xiang “Anthony” Chen, assistant professor of electrical and computer engineering, UCLA Samueli School of Engineering

5. Nix the noise

All sorts of audio issues arise with work-from-home use of laptops. Roommates quarrelling, pets barking or just the hum of the city have been hard to suppress while laptop users are in video or audioconferences. However, help is on its way.

Algorithms on laptops will soon be able to separate out background noises, and do so fast enough that the disturbances get continuously filtered out before leaving the laptop. The same can be done at the receiver’s end: If Bob’s laptop cannot filter out its own background noise, his counterpart Alice could run the filtering, so her laptop speakers only play Bob’s clear voice.

Of course, random background noises are harder to eliminate than steady, familiar noises. But these filtering algorithms can retrain themselves to become better gatekeepers the next time around.

Peering further down the audio road, it might even be possible for laptops to create sound bubbles around the user’s head. This means the laptop speakers would radiate the sound in a way that’s clearly audible around a user’s ears, while ensuring near silence close by, say where the user’s roommate is reading.

—Romit Roy Choudhury, professor of electrical and computer engineering, University of Illinois

6. Sharpening the background

Virtual backgrounds are on their way to being a necessary part of the online meeting experience.

As a host, dynamic background images can go a long way in differentiating your 10 a.m. Zoom meeting from the 3:30 p.m. meeting. Likewise, as a meeting attendee, you can make your contributions more memorable by either removing the distractions of your living room or by using a background that might complement the subject matter or time of day of the meeting.

Good lighting and a laptop camera that can place you in front of an abstract design or tropical background without looking like you were cut out and pasted in with a pair of safety scissors will aid in making virtual meetings feel more professional.

—Peter Plotica, manager of web and digital design, Data Science Institute, Columbia University

7. Security inside and outside the laptop

Working from home creates a number of security concerns for companies, which will lead to enhancements for laptops that you can and can’t see.

As for those that are visible, we’ve already started to see laptops adopting new fingerprint recognition to unlock a device. Similarly, laptop manufacturers may adopt facial recognition or other biometric unlocking software similar to what we have grown accustomed to on cellphones.

Beyond the device itself, we may see a rise in personal and corporate virtual private networks and multifactor authentication. In addition, companies may focus on post-quantum security, leveraging cryptographic algorithms in their systems.

—Mark Gibson, U.S. technology, media and telecommunications leader, KPMG

8. High-tech lost and found

Laptops are coming with various hardware and software to track them if they are lost or stolen.

The most obvious method is GPS tracking of laptops. There are software tools available with all popular laptop operating systems that use GPS to find the device. Still, GPS tracking can be disabled, and its effectiveness can be compromised indoors.

The second line of defense is radio frequency identification tags. The low-cost RFID tags put on machines in retail stores don’t work well, due to the presence of significant amounts of metal in laptops. To ensure high read rates at a distance, metal mount tags can be placed on the laptop. Then a corporation can use its existing RFID-based tracking system to keep tabs on its laptops.

One issue with the surge in tracking is whether the user’s privacy will be breached. There’s the perennial dilemma between privacy and utility. It will be essential for lawmakers to roll out legal guidance as to how such ubiquitous tracking information can be used by law enforcement in cases involving private citizens.

—Somali Chaterji, assistant professor of agricultural and biological engineering, Purdue University

9. Keeping the laptop safe (from kids and others)

Individuals and companies are focusing on how to protect work laptops now that they are being used more often from the home. There are a number of basic security hygiene rules that can be put in place to protect a device.

These include screen-lock timers, so kids can’t access a device when the employee has left the room; limiting administrative-level privileges to the general workforce, so others can’t download inappropriate products onto a device; and using complex passwords or multifactor authentication to provide foundational defence against misuse by casual threats, such as family members, friends or domestic workers.

Meanwhile, security-conscious organizations are placing added security tools and layered encryption onto devices to protect them not only from family members, but also nation-state actors and the common thief. These tools can limit unauthorized user behaviour, such as plugging in removable media devices or using Wi-Fi at a local coffee shop.

Organizations also might deploy a heartbeat security model. That’s when devices have an authorized amount of time they are allowed to work outside organization-owned buildings or off the enterprise network. In addition, laptops can be equipped with advanced security software that takes defensive actions, such as powering off devices to wipe clean the entire hard drive if the device doesn’t check in within the approved intervals.



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AI doesn’t rebel—people design, deploy and profit from it. The real danger lies in allowing tech companies to escape accountability while shaping regulations that protect their dominance.

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A wave of corporate warnings and technical disclosures has flooded the media, with headlines worrying over “swarms” of rogue artificial-intelligence agents launching “unprecedented” cyberattacks, outsmarting their makers, and inching toward a terrifying autonomy. The most revealing part of this narrative isn’t what the software did. It’s who is telling the story—and why. When corporate leaders publicly insist that the systems they financed, engineered and deployed are suddenly beyond their power to contain, skepticism isn’t only healthy; it is essential.

For years, Silicon Valley has drawn scrutiny from civil society and global regulators over tangible harms such as youth mental health deterioration and systematic privacy violations. Today, industry figures seem to be trying to change that public image. Loudly blowing the whistle on their own systems—just as two of the leading companies were preparing for massive initial public offerings—lets AI executives position themselves as a new generation of leaders who have come to terms with their societal responsibilities. They seem to want us to believe that they no longer want to “move fast and break things” but will instead stand as vigilant guardians between humanity and a technological apocalypse.

There is one glaring problem: Software doesn’t rebel. A mathematical model possesses neither intent, malice nor the will to defy its creators, let alone extinguish our species. AI is a human artifact, engineered for profit.

When an agentic model in an evaluation sandbox connects to an unauthorized server or executes an exploit, it hasn’t staged a coup. It has tried to meet the human-defined objectives set out before it through a path its designers failed to constrain. It’s the digital equivalent of the King Midas myth, in which the king’s ill-defined wish turns even his food and drink into gold.

That powerful experimental models were able to discover novel vulnerabilities and breach external systems isn’t a sign of a dangerous superintelligence but of human error or negligence. There is no sentient actor lurking in the weights to be reasoned with, feared or pacified. There are only human software engineers, product managers and corporate boards deciding which guardrails are worth the latency cost and which permissions can be skipped in the race to market.

Policymakers and voters need to resist AI exceptionalism. In any other discipline—from civil engineering to pharmaceuticals—courts and regulators treat a system failure as evidence of bad product design and inadequate safety testing. If an aircraft crashes, we focus on finding the engineering defect, correcting it, and enforcing established liability standards for the damage created.

By leaning on an anthropomorphic narrative, Silicon Valley attempts to repackage its specific human choices that led to experimental, powerful models behaving unexpectedly during tests as an existential peril. Elevating the issue to a cosmic scale leaves the public paralyzed and takes ordinary product accountability off the table.

In the cutthroat race for venture capital and market dominance, building guardrails slows down deployment. Grandstanding about uncontrollable power costs nothing and generates billions of dollars in free publicity, justifying stock prices, all while cultivating an aura of technological capability not only to build the frontier but also ultimately to rein it in.

Governments need to recognize regulatory capture when it stares them in the face. Tech leaders’ strategy looks transparent: Alarm Washington and Brussels into creating a regime in which only trillion-dollar incumbents with fully staffed compliance and safety departments can legally operate. By sitting at the policymakers’ tables before anyone else, these companies can help draft rules digging an impassable moat protecting them from open-source developers and upstart competitors, domestic or international. The real danger is in further concentrating the tech industry into the hands of only a few companies with deep pockets.

Beijing and Washington have brushed off those tech leaders’ calls, albeit for very different reasons. Chinese state media dismissed them as part of the “Cold War playbook” and intended to preserve U.S. dominance. Xi Jinping argued for exactly the opposite at the Brics Summit on Sept. 12, calling on Brics countries to “strengthen cooperation in the field of AI, encourage open source, openness, collaboration and sharing, and break new grounds and scale new heights.” President Trump, steeped in a doctrine of unfettered capitalism and technological supremacy, called fears that AI could destroy humanity a “hoax.” Vice President JD Vance warned that AI companies “begging the government to regulate them” looked like a “Trojan Horse.”

Striving to pursue its “European way” on AI and assert regulatory leadership, Europe, by contrast, welcomed the call. European Union President Ursula von der Leyen made this clear at the State of the EU speech last Wednesday and announced that the EU will invite “the main frontier labs for a discussion on how we can support ongoing industry efforts to pace the frontier.”

Europe has been here before. In an effort to lead global regulation and react to fears borne from ChatGPT, Europe rushed its landmark AI Act into law in 2024. Already the world’s most restrictive rulebook, the framework quickly proved too broad and complex to enforce. Stalled by implementation delays and concerns about European competitiveness, the EU postponed the law’s full rollout, leaving regulations uncertain.

AI should be regulated—risks exist and should be taken seriously. But governments need to act based on available evidence and verified facts, not corporate PR panic, the views of industry insiders, or the desire for quick political wins. The greatest danger facing society isn’t that software will awaken and overthrow its human masters. It is that we will allow the creators of the software to abdicate human responsibility for the systems they choose to build and help them pull up the ladder to market access behind them.