Axios has put together some great info on artificial intelligence. It’s use will continue to expand. Consideration of the ethics of it’s use is important.
“The Information Technology Industry Council — a D.C.-based group representing the likes of IBM, Microsoft, Google, Amazon, Facebook and Apple — is releasing a set of ethical principles today on how artificial intelligence systems should be developed.
“The tech industry is trying to get ahead of growing anxieties about the societal impact of AI technologies and this is an acknowledgement on companies’ part that their data-hungry products are causing sweeping changes in the way we work and live.
“Why it matters: The companies hope by pledging to handle their power responsibly they can stave off government regulation.
“Why now: ITI president Dean Garfield told Kim that the industry has learned painful lessons by staying on the sidelines of past debates about technology-driven societal shifts. “Sometimes our instinct is to just put our heads down and do our work, to develop, design and innovate,” he said. “But there’s a recognition that our ability to innovate is going to be affected by how society perceives it.”
The principles include:
- Ensure the responsible design and deployment of AI systems, including taking “steps to avoid the reasonably predictable misuse of this technology by committing to ethics by design.”
- Promote the responsible use of data and test for potentially harmful bias in the deployment of AI systems.
- Commit to mitigating bias, inequity and other potential harms in automated decision-making systems.
- Agree to develop a “reasonable accountability framework” to address concerns about liability issues created when autonomous decision-making replaces decisions made by humans.
Source: Login – Axios
What the studies say: The Pew report is a followup to a study it issued last year with similar findings. Likewise, a survey last month by Bloomberg Beta, a venture capital firm, found that just 12% of Americans worry about losing their job to automation. The surveys spring in large part from much-discussed 2013 research from Oxford University that said 47% of American jobs are at risk of automation by 2033.
The bottom line: Numerous experts challenge such pessimism, but regardless of what anyone thinks, there is very little dispute that a lot of people are going to lose their jobs. The only questions are whether they will find new work, and if so, how long it will take. Should dislocation occur on the scale some forecasters project, experts fear social chaos. “Some people will be taken by surprise, and nothing leads to instability more than frustrated expectations,” Bloomberg Beta’s Roy Bahat told Axios.
Axios reports that we are in a robot-and-artificial intelligence bubble, and experts are starting to push back. Among their gripes: over-the-top hype of AI’s capabilities and its near-term danger to society.
One of those grumbling is Rodney Brooks, a father of modern robotics. He tells Axios that we are not near an age of super-human machines — robots are here, but not about to take over:
- “AI is not inherently powerful. In hundreds of years, it could be different. But we aren’t on the cusp of this.”
- Some companies are making exaggerated claims of AI capability in their products.
- “AI washing is very, very prevalent,” Brooks says, forecasting “some disappointments ahead — a bubble that bursts.”
Where we are now: In terms of commercial products, we are in an age of simple robots doing the simplest of tasks again and again, mainly because no one has yet invented one that reliably does something more complicated that is actually in demand. We are talking machines like the Roomba, the robot vacuum cleaner of which Brooks is a co-inventor. “Customers want something that out of the box will just work, at a price they want to pay,” he says. “And they don’t want to read a manual.”
Where we’re going: The greatest near-term need is robots that will help the elderly stay in their homes, he says. “We will be lucky if we have enough robots to fill the gaps needed for the aging population. They will be dumb robots.”
Source: Future of Work –