In a thought-provoking presentation on the latest Way forward for Decentralization, AI, and Computing Summit by UC Berkeley, famend AI knowledgeable Dr. Mike Jordan took the stage to speak a couple of distinctive perspective of how AI needs to be considered.
To start out his presentation, Dr. Mike famous that it’s extra vital to think about the “why” behind AI improvement along with the “what” and “how,” difficult the viewers to mirror on the legacy they’re abandoning on this period of technological developments.
“The speak is much less concerning the ‘what’ and ‘how,’ which occupy most of our time in AI, and extra concerning the ‘why,’” Dr. Mike added. “We regularly begin on this subject as a result of it’s cool or enjoyable, however as we get older, we must always take into consideration the impression on society.”
He urged the viewers to think about the broader societal implications of their work. “What legacy are you leaving? Don’t be naive in considering expertise alone can repair all the things,” he cautioned.
Creating new worth programs with AI
Dr. Mike’s perspective shifted the main target from particular person AI developments to the creation of collective programs.
“It’s not nearly particular person AI changing people; it’s about creating new sorts of collectives,” he defined. These collectives, he mentioned, contain networks of individuals with various wishes and aspirations.
He narrated how people have created transportation and communication collectives the place we’ve shortened the gap between one individual and one other.
Additionally, we’ve seen how the sphere of drugs has advanced to provide people higher companies. The identical must be replicated within the realms of economics, the incomes energy of individuals.
AI, economics and knowledge administration
The speak delved into the decentralization of knowledge and the significance of market mechanisms, equity, and financial viability in a related world.
The Professor challenged the viewers to assume past typical AI paradigms and take into account the impression of their work on markets and society.
One among his key factors revolved round knowledge possession and worth. “We’re dwelling in a world the place knowledge creation is fixed, from music to novels, and we’re utilizing our units for numerous inventive actions. It’s important to worth this knowledge correctly, each ethically and economically,” he burdened.
As an example his level, Dr. Mike shared his involvement with UnitedMasters.com, a startup revolutionizing the music trade.
UnitedMasters operates as a three-way market, the place musicians’ songs are produced, listened to, and model offers are struck based mostly on knowledge flows.
It exemplifies the ability of mixing technical innovation with financial fashions to profit artists and society.
Dr. Mike referred to as consideration to the necessity to resolve advanced issues that come up when creating such programs, urging AI researchers to consider equilibria and dynamics inside these programs.
He referred to as for a shift from conventional AI considering to constructing expertise that helps unexpected collective intelligence.
AI and Federated studying
Addressing the subject of federated studying, he challenged the present method, stating that it lacks financial worth for individuals and urged reevaluating the market mechanisms.
Federated studying is a machine studying method the place a number of decentralized units or servers collaborate in coaching a shared mannequin whereas retaining their knowledge domestically. This system permits for privacy-preserving mannequin coaching, because the uncooked knowledge stays on the person units and isn’t centralized.
As a substitute, solely mannequin updates or gradients are exchanged in the course of the coaching course of, making it appropriate for eventualities the place knowledge privateness is a priority, corresponding to in healthcare or finance.
Dr. Mike concluded his speak by introducing the idea of “statistical contract concept” and its potential to revolutionize economics and incentives by incorporating knowledge into contract design.
He famous that using incentives within the knowledge economic system has been proven to enhance the speed at which customers need to share their knowledge versus sharing their knowledge with out their consent. An incentive mannequin in knowledge sharing will assist the trade enhance.
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