Emergent leaders in the machine intelligence era

September 25, 2017 Sam DeBrule

Awesome, not awesome.

“All computer are defined by what their brains–that is, their hardware and software–are capable of computing and controlling. Robots are computers that have both a brain and a body. A robot’s capabilities are defined by what its brains and body can jointly do. Digital technology advances have greatly benefitted the robot’s brains, as they have those of all other computers. In addition, the electromechanical components used in robotic devices are also advancing rapidly, making it possible to imagine a future when robots will be ubiquitous in manufacturing, health care, security, transportation, our homes and many other areas.”— Irving Wladawsky-Berger, Strategic Advisor Learn More on The Wall Street Journal >

#Not Awesome
“Imagine a tiny insect-sized drone loaded with explosive[s]. Guided by a pre-programmed AI, it could hunt down a specific target — a politician, a general, or an opposition figure — determine when to strike, how to strike, and if to strike based on its own learning.” — Mike Rogers, Former Rep. (R-Mich.) Learn More on The Hill >

What we’re reading.

1/ Sheryl Sandberg personally announces the changes Facebook plans to make to its ads targeting policies and automated processes to prevent attacks on individuals based on their race, ethnicity, and sexual orientation. Learn More on Facebook >

2/ The above changes alone won’t be enough to shut down bad actors — Facebook needs to continue to invest heavily in AI systems and human moderation tools, and add transparency to maintain the integrity of free and fair elections. Learn More on The New York Times >

3/ Small farmholders that once struggled to keep plant pests and diseases at bay can now upload pictures of unhealthy crops to an app for quick diagnoses and suggested remedies. Learn More on Fast Company >

4/ Everyone is in agreement that AI systems will unlock massive benefits for companies, but without a better understanding of how humans and machines should best collaborate, those benefits could take quite some time to realize. Learn More on Scientific American >

5/ Social scientists are increasingly turning to AI to solve society’s ills, but without ethical guidelines in place, we shouldn’t be surprised when serious harm is done. Learn More on WIRED >

6/ If we design AI systems to listen to us and communicate how they came to decisions, rather than allow them to function as black boxes, we can expect them to practice empathy. Learn More on DesignMind >

7/ Self-driving cars on our roads are inevitable, but without clear safety and communications standards from regulators, innovators will waste precious time and money solving problems that could otherwise be eliminated. Learn More on Bloomberg View >

What we’re building.

At work, our inboxes fill up quicker than we can empty them, key decisions are posted and immediately lost in Slack, and we forget the thousands of useful articles we’ve read that could help us do our jobs better. Information overload is wreaking havoc on our ability to process information, make decisions, and be productive.

We’re building Journal to help you remember and find all the important conversations, ideas, and knowledge you need to work faster.

Join our waitlist, and you’ll be one of the first people to get free access to our chrome extension. You’ll never forget important information or lose time recreating work again.

Highlights from “We’re waiting for the Peter Drucker of Machine Intelligence”

Software was merely the translation of people instructions into machine instructions. (Drucker even called computers total morons, because they could not make decisions, only implement them.) Software could spread information, creating an “information-based organization” so people can make better decisions — but, in Drucker’s view the software never decides.

Machine intelligence changes that. It enables software that remembers not only past data but also the results of past decisions — and distills them into a model. This is the secret concept for future AI management gurus to understand. Models go beyond automating workflows, they automate decisions…

Read the full “We’re waiting for the Peter Drucker of Machine Intelligence” >

Links from the community.

“The Ethics of AI: Building technology that benefits people and society” submitted by Steve Mnich. Learn More on LinkedIn >

“Why AI Companies Can’t Be Lean Startups” submitted by Timothy Parsons (@timothy_parsons). Learn More on Machine Learnings >

“How to tackle the cold-start problem for your applied AI startup” submitted by Avi Eisenberger. Learn More on The Path Forward >

“Panelists Strike an Optimistic Tone on Artificial Intelligence” submitted by Samiur Rahman. Learn More on The Harvard Crimson >

“IBM is Modeling New AI After the Human Brain” submitted by Larissa Ameti (@larissaameti). Learn More on Futurism >

Emergent leaders in the machine intelligence era was originally published in Machine Learnings on Medium, where people are continuing the conversation by highlighting and responding to this story.

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