Original article can be found here (source): Artificial Intelligence on Medium
How can Google responsibly lead the AI revolution
Google is leading the AI revolution with the highest number of AI patents and heavy investments and acquisitions of AI startups from around the world.
With leadership comes responsibility and as the leader of the AI race, Google needs to set an example of being a responsible player that other companies can emulate. Here are 5 recommendations for Google on how it can be more responsible driving the AI revolution:
1. Create an Ethics Board where members have decision making power
It’s hard to believe that a company like Google doesn’t have a functioning ethics board for a significant and potentially dangerous technology like AI. Earlier this year, Google launched an AI Ethics Board to guide its “responsible development of AI,” but scrapped it within a week of its creation after receiving backlash from its employees for having Kay Coles James, the president of right-wing Think Tank at The Heritage Foundation as one of its board members. But even before it was scrapped, it was bound to fail as the board members didn’t have any power to influence decisions at Google.
Google should create an Ethics Board where members could actually influence the decisions taken at the company.
2. Work with industries and government to ease the transition into the AI era
One of the biggest expected undesired outcomes of AI is that it will disrupt several human jobs in many industries due to automation. The possible repercussions of this could be very dangerous, especially in developing countries.
While Google has already committed $1 billion to train Americans for jobs in technology, the company can work with industries and governments (at least in the countries where it operates) to ease this transition.
3. Use AI to administer AI
AI is still in the nascent stage, but what we do know is that algorithms are accomplishing tasks human beings don’t even understand. This is a serious dilemma for us as we can’t take the responsibility of administering AI if we can’t keep up with the pace of algorithms.
One possible solution for Google could be to use AI to administer AI if they aren’t already doing so.
4. Share bias reduction tools with other technology companies
One of the biggest challenges in AI today is removing or at least reducing, the human biases from AI. Google has built a number of tools, such as ‘Facets’, ‘What If Tool’ to tackle unfair bias in AI.
By sharing it with other technology companies, the biases in the products/services that use AI could be reduced collectively.
5. Use AI to upgrade cybersecurity
According to a survey by cybersecurity firm Webroot, more than 90% of cybersecurity professionals in the US and Japan expect attackers to use AI against the companies they work for. In the future, it is possible to have hackers attack a financial institution’s AI-controlled customer recognition software.
Google can use AI to upgrade their cybersecurity capabilities and protect their AI initiatives.
“The real risk with AI isn’t malice but competence.” — Stephen Hawking