martes, 19 de febrero de 2019

Invest in AI’s ethical future

I spent a recent Saturday morning talking to a group of grade school kids about artificial intelligence. Many of them had never coded before, let alone heard of AI. During the session, one exercise required them to come up with ideas for how the AI they create would be used in the real world. I was struck by the kids’ genuine interest in creating AI solutions that would help people, rather than divide them. I left that classroom with renewed faith in the future of innovation — especially if industry can extend technology-focused career opportunities to people from different backgrounds and with fresh perspectives.

Shifting from rhetoric to action

As the employee and public response to Google’s Project Maven illustrated, the need for ethical AI in the world is real, immediate and essential to making sure interactions with technology actually mitigate potential risks, help people and improve work. A key challenge for industry is figuring out how to move the global conversation away from AI as a threat to human jobs and safety, and toward cementing AI as an ethical complement to human ingenuity. In short, businesses need to be honest about AI’s impact on the global economy while transparently addressing public concerns about the technology.

Today’s digital literacy opportunities mostly exist outside the realm of regular education. Several programs manifest as extracurricular opportunities pursued by kids or early-career employees who are already interested in technology — and in a position to spend money to learn new skills. These opt-in courses help younger generations of people adopt necessary computational thinking and wider problem-solving, analytical and creativity skills needed to work with AI and other emerging technologies. That is precisely why they need to be accessible to more people.

Companies also need to invest in proactive retraining of technical and developer workforces to close digital skill gaps, diversify talent pools developing the technology and boost ethical AI literacy. Specifically, business leaders need to empower executives and human resources with the tools, data and space to understand the evolving skill sets needed to work with AI in an ethical way.

Companies should think critically about how to convey to current employees and future workforces the massive potential and exciting opportunities to work alongside AI. And, most importantly, AI leaders need to call on global industry and governments around the world to incorporate ethical practices into staff training throughout ranks — and hold them accountable once the commitment is made.

Defining industry’s role in helping people understand AI

In the short-term, companies should prioritize establishing working relationships with public sector partners and invest in community school programs that support digital education. After all, industry has a large stake in the successful education of young generations of people — many now born into a digitally native world — who will ascend into the workforce over the next decade.

Young people, on the other hand, are in a unique position to gain new skills from in-person mentorships offered by experts, developers and volunteers who currently work in technology and AI. Teaching diverse cohorts to code and introducing them to AI helps solve some immediate talent needs for industry, but society needs to also equip people with universally available data and adaptable skills to train for a shared future with AI.

Indeed, traditional office skills — and even software programming skills — will need to evolve in order for people to successfully and sustainably achieve workplace coexistence with AI. Companies like Infosys have already committed to retraining millions of workers in diverse fields in the path of automation. LinkedIn launched an internal AI academy for developers, engineers and technical recruits to retool them for an automated future. In general, companies should invest in teaching new generations of people interested in pursuing technology careers about ethical AI from day one — and encourage them to bring others into the fold.

My company’s corporate effort to teach younger generations about AI launched in the beginning of 2018. The program’s early work has revealed two key things: young people focus on building positive applications of AI and they approach learning about ethical AI with an open mind. Industry’s current movement to outfit people with digital skills focuses squarely on coding — completely blocking out the non-coders and creative minds needed to advance technologies that continuously learn and, eventually, self-code — like AI. That is why the program’s curriculum extends beyond how to develop digital skills needed to build AI and centers around “soft skills.”

Outfitting future generations with skills and inclusivity

At their core, AI literacy programs should teach young people how to develop traits like empathy that guide how humans interact with people — and how they will work with automated technologies like AI in the near future. However, in order to truly democratize computer and AI training opportunities for people from every background, industry should look for approachable avenues to introduce more people to emerging innovations driven by AI — and outfit them with skills needed to pursue careers in technology. After all, achieving diversity in business, preparing employees for a technology-driven future and instilling ethics into innovation requires involvement from as many people as possible. Society stands to benefit immensely from making progress on all three fronts.



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miércoles, 13 de febrero de 2019

Asteroid is building a human-machine interaction engine for AR developers

When we interact with computers today we move the mouse, we scroll the trackpad, we tap the screen, but there is so much that the machines don’t pick up on, what about where we’re looking, the subtle gestures we make and what we’re thinking?

Asteroid is looking to get developers comfortable with the idea that future interfaces are going to take in much more biosensory data. The team has built a node-based human-machine interface engine for macOS and iOS that allows developers to build interactions that can be imported into Swift applications.

“What’s interesting about emerging human-machine interface tech is the hope that the user may be able to “upload” as much as they can “download” today,”Asteroid founder Saku Panditharatne wrote in a Medium post.

To bring attention to their development environment, they’ve launched a crowdfunding campaign that gives a decent snapshot of the depth of experiences that can be enabled by today’s commercially available biosensors. Asteroid definitely doesn’t want to be a hardware startup, but their campaign is largely serving as a way to just expose developers to what tools could be in their interaction design arsenal.

There are dev kits and then there are dev kits, and this is a dev kit. Developers jumping on board for the total package get a bunch of open hardware, i.e. a bunch of gear and cases to build out hacked together interface solutions. The $450 kit brings capabilities like eye-tracking, brain-computer interface electrodes, and some gear to piece together a motion controller. Backers can also just buy the $200 eye-tracking kit alone. It’s all very utility-minded and clearly not designed to make Asteroid those big hardware bucks.

“The long-term goal is to support as much AR hardware as we can, we just made our own kit because I don’t think there is that much good stuff out there outside of labs,” Panditharatne told TechCrunch.

The crazy hardware seems to be a bit of a labor of love for the time being, while a couple AR/VR devices have eye-tracking baked-in, it’s still a generation away from most consumer VR devices and you’re certainly not going to find too much hardware with brain-computer interface systems built-in. The startup says their engine will do plenty with just a smartphone camera and a microphone, but the broader sell with the dev kit is that you’re not building for a specific piece of hardware, you’re experimenting on the bet that interfaces are going to grow more closely intertwined with how we process the world as humans.

Panditharatne founded the company after stints at Oculus and Andreessen Horowitz where she spent a lot of time focusing on the future of AR and VR. Panditharatne tells us that Asteroid has raised over $2 million in funding already but that they’re not detailing the sources of that cash quite yet.

The company is looking to raise $20k from their Indiegogo but the platform is the clear sell here, exposing people to their human-machine interaction engine. Asteroid is taking sign-ups to join the waiting list for the product on their site.



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jueves, 7 de febrero de 2019

Musiio raises $1M to let digital music services use AI for curation

Musiio, a Singapore-based startup that uses AI to help digital music companies with discovery and creation, has pulled in a $1 million seed round.

The capital comes from Singapore’s Wavemaker Partners, U.S. investor Exponential Creativity Ventures and undisclosed angels. The deal represents the first outside round for Musiio, which was founded at the Entrepreneur First program in Singapore where CEO Hazel Savage, a former streaming exec, met CEO Aron Pettersson. It also makes Musiio the first venture capital-backed music AI startup in Southeast Asia and one of the most notable EF graduates from its Asian cohorts.

We first wrote about Musiio last April when it had raised SG$75,000 ($57,000) as part of its involvement in EF, the London-based accelerator that has big ambitions in Asia. Since then, it has increased its team to seven full-time staff.

The company is focused on reducing inefficiencies for music curation using artificial intelligence by augmenting the important work of human curators. In short, it aims to give those without the spending power of Spotify the opportunity to automate or partially automate a lot of the heavy lifting when it comes to scouring through music.

“Musiio won’t replace the need to have people listening to music,” Savage told TechCrunch last year. “But we can delete the inefficiencies.”

The Musiio team at its office in Singapore

The company’s first public client is Free Music Archive (FMA), a Creative Commons-like free music site developed by independent U.S. radio station WFMU. Musiio developed a curated playlist which raised the profile of a number of songs that had become ‘lost’ in the catalog. In particular, it helped one track double the number of plays it had received over eight years within just two days.

The FMA deal was really a proof of concept for Musiio, and Savage said that the company is getting close to announcing deals.

“Over the next month or two, there will be two or three commercial announcements,” Savage said this week. “We’re working with streaming companies and sync companies.”



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lunes, 4 de febrero de 2019

Rebranding para marcas famosas, creativos ejemplos

La factibilidad de transformar la identidad visual de las marcas depende de elementos fundamentales que hay  que saber distinguir.

Es cierto que la renovación de una imagen depende de diferentes factores y no puede ser resultado de una ocurrencia. Descubre a continuación la propuesta desarrollada por el estudio creativo  pakistaní Ninja Creativity, es un ejercicio creativo que puedes desarrollar por tu propia cuanta si lo tuyo es el dominio del diseño… con ello puedes refrescar

 

The post Rebranding para marcas famosas, creativos ejemplos appeared first on Revista Merca2.0.



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