Technologist and researcher Aviv Ovadya is unsure if generative AI can be controlled, but the most plausible means of controlling generative AI is to let people affected by it know how to curb it. may be entrusted to decide jointly.
it means you that means me It is the power of large networks of individuals (including Washington, for example) to solve problems more quickly and fairly than a small group of individuals could do alone. It inherently relies on the wisdom of crowds and is happening in many areas, including scientific research, business, politics, and social movements.
For example, in Taiwan, citizen-minded hackers formed the platform “Virtual Taiwan” in 2015. The platform is described as “bringing together representatives of the public, private and social sectors to discuss policy solutions to issues primarily related to the digital economy.” In 2019, Taiwan’s Digital Minister Audrey Tan contributed to The New York Times. Since then, it has been known as vTaiwan, Tang wrote at the time, addressing dozens of issues “by utilizing a combination of online discussions and in-person discussions with stakeholders.” increase.
A similar initiative is Oregon’s Citizens’ Initiative Review, which was signed into law in 2011 to inform state voters about ballot measures through a citizen-led “deliberative process.” Her 25 citizens from about 20 representing all of Oregon’s voters will meet to discuss the initiative’s merits. Then compile a statement about that initiative and send it to other voters in your state to help them make more informed decisions on Election Day.
The so-called deliberative process has also successfully addressed issues such as Australia (water policy), Canada (electoral reform), Chile (pensions and health care) and Argentina (housing, land tenure).
“There are obstacles to making this work,” said Ovadya of the Berkman Klein Center at Harvard University, whose research has increasingly focused on the impact of AI on society and democracy. I’m here. “But empirically, this is happening at all scales on all continents around the world,” he points out.
Letting a large cross-section of people decide the acceptable guidelines for AI may sound outlandish to some, but even technologists see it as part of the solution. I’m here. Mira Murati, chief technology officer of prominent AI startup OpenAI, said in a new interview with Time magazine:[W[e’re a small group of people and we need a ton more input in this system and a lot more input that goes beyond the technologies— definitely regulators and governments and everyone else.”
Asked if Murati fears that government involvement can slow innovation or whether she thinks it’s too early for policymakers and regulators to get involved, she tells the outlet, “It’s not too early. It’s very important for everyone to start getting involved given the impact these technologies are going to have.”
In the current regulatory vacuum, OpenAI has taken a self-governing approach for now, instituting guidelines for the safe use of its tech and pushing out new iterations in dribs and drabs — sometimes to the frustration of the wider public.
The European Union has meanwhile been drafting a regulatory framework — AI Act — that’s making its way through the European Parliament and aims to become a global standard. The law would assign applications of AI to three risk categories: applications and systems that create an “unacceptable risk”; “high-risk applications,” such as a “CV-scanning tool that ranks job applicants” that would be subject to specific legal requirements; and applications not explicitly banned or listed as high-risk that would largely be left unregulated.
The U.S. Department of Commerce has also drafted a voluntary framework meant as guidance for companies, but there remains no regulation– zilcho — when it’s sorely needed. (In addition to OpenAI, tech behemoths like Microsoft and Google — despite being burned by earlier releases of their own AI that backfired — are very publicly racing again to roll out AI-infused products and applications, lest they be left behind.)
A kind of World Wide Web consortium, an international organization created in 1994 to set standards for the World Wide Web, would seemingly make sense. Indeed, in that Time interview, Murati observes that “different voices, like philosophers, social scientists, artists, and people from the humanities” should be brought together to answer the many “ethical and philosophical questions that we need to consider.”
Maybe the industry starts there, and so-called collective intelligence fills in many of the gaps between the broad brush strokes.
Maybe some new tools help toward that end. Open AI CEO Sam Altman is also a cofounder, for example, of a retina-scanning company in Berlin called WorldCoin that wants to make it easy to authenticate someone’s identity easily. Questions have been raised about the privacy and security implications of WorldCoin’s biometric approach, but its potential applications include distributing a global universal basic income, as well as empowering new forms of digital democracy.
Either way, Ovadya thinks that turning to deliberative processes involving wide swaths of people from around the world is the way to create boundaries around AI while also giving the industry’s players more credibility.
“OpenAI is getting some flack right now from everyone,” including over its perceived liberal bias, says Ovadya. “It would be helpful [for the company] I have a really concrete answer on how to establish a course going forward.”
Ovadya likewise points to Stability.AI, an open-source AI company. The company’s CEO, Emad Mostaque, has repeatedly suggested that Stability is more democratic than OpenAI because it’s available everywhere, but OpenAI is currently only available in the countries it can serve. secure access. ”
Ovadya says: good, Wouldn’t it be great if we could actually use a democratic process to find out what people really want?”
Can “We Humans” Control AI? By Connie Loizos, First Published on TechCrunch
