Adkaysiga xilliga AI

AI, tignoolajiyadaha ujeeddo-guud, iyo sababta uu adkaysigu u yahay hawsha jiilkeenna.

Waxaa qoray Wojciech Zaremba

Mu’asasadda OpenAI waxay u jirtaa inay xaqiijiso in caqliga macmalka guud uu faa’ido u yeesho dhammaan aadanaha.

Waxaan si hagar la’aan ah uga shaqaynaynay sidii aan ula jaanqaadi lahayn horumarka degdegga ah ee AI-da lafteeda. Bishii Abriil, Mu’asasadu waxay shaacisay deeqahayagii ugu horreeyay oo dhan $100 milyan oo ku saabsan Cilmiga Nolosha iyo Daaweynta Cudurrada, iyadoo leh himilo ah in la caawiyo ka hortagga iyo daaweynta cudurrada sida cudurka Alzheimer’s-ka iyadoo laga faa’idaysanayo sirdoonka macmalka ah ee horumarsan. Toddobaadkii hore, waxaan ku dhawaaqnay barnaamijkeenna Shaqooyinka iyo Mustaqballada Dhaqaale, annagoo rajaynayna inaan fahanno oo qaabaynno waxa shaqada iyo barwaaqada dhaqaale uga dhigan yihiin jiilalka mustaqbalka.

Maanta, waxaan sii ballaarinaynaa aragtidayada ku aaddan barnaamijka weyn ee xiga—annagoo hubinayna in, marka awoodaha caqliga macmalka ah (AI) ay koraan, awoodda bulshada ee ay uga faa’iidaysan karaan ay iyaduna si dhakhso ah u korayso. Shaqadan waxaan ugu yeernaa adkaysiga caqliga macmalka ah: hab ku dhisan nidaam-deegaan oo loo baahan yahay si loo yareeyo khataraha AI-ga, si bulshadu uga faa’iidaysan karto faa’iidooyinkiisa sida ugu badan.

Shaqadeennu hore ayay u billaabatay. Dhowrkii bilood ee gaagaabnaa tan iyo markii aan billownay shaqadeenna, Mu’asasadu waxay ka shaqaynaysaa dhammaystirka deeqo ka badan $130 milyan oo la siinayo ururro iyada oo loo marayo barnaamijkeenna Adkaysiga AI, kuwaas oo dhowaan si guud loo shaacin doono, kuwo kalena ay soo socdaan.1

Hannaanka tignoolajiyada isbeddel-dhalisa

Muhiimadda adkaysiga AI-ga waxaa sida ugu fiican loo fahmi karaa marka laga eego dhinaca tiknoolajiyadihii hore ee si weyn u qaabeeyay taariikhda aadanaha.

Marar badan, waxaa soo gaara tiknoolajiyad dib u qaabaynaysa bulshada laga bilaabo bilowga ilaa dhammaadka. Dhaqaaleyahannadu waxay ugu yeeraan "teknoolajiyada ujeeddooyinka guud." Dab. Mashiinka daabacaadda. Koronto. Internetka. Mid walba wuxuu raacay qaab isku mid ah: hal-abuur degdeg ah, khataro dhab ah, iyo hay'ado u tartamaya sidii ay ula qabsan lahaayeen. Laakiin tusaale kasta sidoo kale wuxuu muujinayaa waxa loo baahan yahay si tignoolajiyad awood badan looga dhigo mid ammaan ah.

Dabku wuxuu suurtageliyay ilbaxnimada aadanaha. Wuxuu na siiyay kuleyl, wuxuu kariyaa cuntadeenna, uuna naga ilaaliyaa ugaarsiga. Waxay sidoo kale magaalooyinkeenna dab ku gubtay oo dhulka la sintay. Waqti ka dib, bulshadu waxay dhiseen adkeysi: agabka u adkaysta dabka, shabakadaha biyaha, waaxyaha dab-damiska ee xirfadlayaasha ah, iyo xeerarka dhismaha. Nidaam deegaan, lakab lakab.

Korontadu waxay raacday isla waddadii. Ka dib markii Saldhigga Pearl Street ee Edison uu Manhattan iftiimiyey sanadkii 1882, korontadu waxay keentay dabab, shilal koronto-ku-dhimasho ah, iyo argagax dadweyne. Iyadoo aanay jirin tallaabooyin ilaalin sida fiilooyin koronto oo dahaadhan, qalabka wareegga korontada jabiya, iyo xeerarka, shaqaalaha iyo dadka ag-joogga ahaa ayaa koronto ku dhintay magaalooyin dalka oo dhan. Magaalooyinku waxay ka doodeen in tijaabada gebi ahaanba laga tanaasulo ama aan laga tanaasulin. Taas beddelkeeda, markii teknoolojiyaddu horumartay, waxaan dhisnay hay’ado tijaabo oo madax-bannaan sida Underwriters Laboratories, heerar warshadeed sida Xeerka Korontada Qaranka (National Electrical Code), iyo maalgashi dadweyne oo koronto gaarsiiyay bulshooyinkii uu suuqu ka tagay. Lakab kasta wuxuu korontada ka dhigay mid sii ammaan badan oo si fudud loo heli karo; maanta, aad bay ammaan u tahay in ilmo uu riixo furaha, iftiinka wuu soo baxaa.

Tani waa sida uu adkaysigu u ekaado marka si wanaagsan loo muujiyo.

AI-gu wuxuu u baahan yahay nidaam-deegaan oo adkaysi leh

Sirdoonka macmalka ah wuxuu raacayaa isla jihadii ay mareen tignoolajiyadihii hore, balse wuxuu ku socdaa xawaare aan hore loo arag.

Weli waxaynu ku jirnaa marxaladihiisii hore, laakiin faa’iidooyinkiisu durba way caddahay: AI-gu wuxuu yareynayaa caqabadaha bilaabista ganacsi, ballaarinayaa marin u helka waxbarashada, dardargelinayaa daahfurka sayniska, isla markaana beddelayaa cilmiga caafimaadka.

Isla mar ahaantaana, khataraha ayaa si dhakhso ah u soo baxaya — khatarihiisuna u soo baxayaan si la mid ah oo degdeg ah Kobaca la midka ah ee sameeya warshado cusub ayaa kor u qaadi kara kuwa jira oo carqaladeyn kara shaqooyinka. Isla nidaamyadaas ka caawin kara dhalinyarada inay wax bartaan oo sameeyaan ayaa sidoo kale horseedi kara dhaqan waxyeello leh. Aaladaha dedejiya cilmi-baarista bayoolojiga ayaa hoos u dhigi kara caqabadda sameeya cudur-sidayaal waxyeello leh. Iyo awoodda AI-ga u leeyahay qorista koodhka, haddii ay gasho gacmo khaldan, waxay halis gelin kartaa kaabayaasha muhiimka ah.

Kooxdii hore ee OpenAI waxay aaminsanayd in hubinta in AI-gu bulshada faa’ido u yeesho ay ugu horrayn ku xirnayd xalinta dhibaatada farsamo ee waafajinta. Taasi weli waa mid muhiim ah—waana udub-dhexaad u ah shaqadeenna—laakiin hadda waxaan aaminsannahay inay tahay hal qayb oo keliya oo ka mid ah sawirka guud. Marka AI-gu ku faafo qaybaha kala duwan iyo dalalka, bulshada sidoo kale waxay u baahan doontaa cilmi-baaris madax-bannaan, kaabayaal dadweyne, isku-duwidda warshadaha, iyo goobo khibradeed oo gebi ahaan cusub. Marka la soo koobo, waxay u baahan doontaa adkaysiga AI-ga.

Waxaan doorannay inaan shaqadayada bilowga ah diiradda ka saarno afar meelood oo 2 ah oo ku yaal isgoyska khataraha waaweyn, kuwa mustaqbalka dhow iyo saameynta degdegga ah:

  1. Adkaysiga bayoolojiyeed si looga caawiyo ka hortagga safmarrada mustaqbalka ee si farsamaysan loo abuuray;

  2. Adkeysiga saybarka si looga shaqeeyo xaqiijinta badbaadada nidaamyada muhiimka ah ee adduunkeenna;

  3. Badbaadada nooca AI si loo adkeeyo xakamaynta bini’aadamka ee noocyada aan abuurno; iyo

  4. Saameynta AI ee dhallinyarada si gacan looga geysto in tignoolajiyadu noqoto xoog togan oo u adeega jiilalka mustaqbalka.

Shaqadeennu hadda uun bay bilaabanaysaa. Waxaan qorshaynaynaa inaan wax badan ka wadaagno istaraatiijiyadahayaga iyo deeqaha bilowga ah ee goob kasta, iyo inaan muddo ka dib ku fidno goobo kale.

Bio-resilience

AI will enable biological research to move at unprecedented speed, helping develop new cures and public health improvements that enable us to all live healthier and longer. However, these same capabilities could also be misused by malicious actors, lowering the barrier to designing harmful pathogens.

The age of AI requires a renewed focus on biosecurity. Because advanced AI systems could be misused by bad actors to help create a wide range of biological threats, we will prioritize pathogen-agnostic biosecurity solutions. This will require investments across prevention, detection, and defense. We need to make it harder for malicious actors to access the expertise, equipment, and materials to create biological threats, improve our ability to identify and track novel outbreaks early, and strengthen the technologies—such as protective equipment, indoor air cleaning systems, and medical countermeasures—needed to respond quickly and effectively.

Cyber-resilience

AI has begun to rapidly reshape the cybersecurity landscape. The work that once required specialized teams can now be assisted or automated by capable models. At the same time, rapidly-improving AI capabilities can also be used to accelerate cyberdefenders, including by identifying and patching vulnerabilities and accelerating response.

Many large companies and private actors can spend heavily on cyber to secure their own systems, including with new advances in AI. We anticipate focusing significant resources on securing other important societal actors that are less resourced and will have a much harder time deploying AI-ready cyberdefenses as quickly as needed. In parallel, we are also focused on preparing for novel security challenges that artificial general intelligence will ultimately bring.

AI model safety

AI model safety focuses on the behavior of the systems themselves—whether they are truthful, reliable, and aligned with human intent. In a world where this goes awry, models can break out and behave in unpredictable ways, deceiving us or pursuing goals beyond their design. Getting this right becomes increasingly important as AI systems grow more autonomous and approach—and eventually surpass—human-level intelligence.

AI companies are investing substantial resources in model safety. However, the importance of this challenge calls for a broader, more robust ecosystem: independent institutions to evaluate model safety, public infrastructure to verify models’ safe deployment in practice, and continued advances in alignment science that advance the field broadly.

AI’s impact on young people

Young people are often the earliest adopters of new technologies, using them to learn, create, communicate, and explore the world. AI is no exception. But as these tools become an increasing part of young people’s daily lives, it is critical that we develop a stronger evidence base to understand its impacts.

Families, schools, policymakers, and community organizations are all grappling with questions about how and when young people engage with AI—including its impact on human connection, learning, and development. Our initial focus will be on advancing independent research to help guide those decisions—to better understand where AI can support development, the risks it may introduce, and the contexts that shape those effects.

These insights should drive broad safety standards and design principles that guide how any AI product is developed, how schools choose to deploy them, and if and how families decide to incorporate these technologies into their lives.

The work ahead

There is one critical difference between AI and the technologies that came before it: speed.

Fire resilience took millennia. Electricity resilience took decades. AI resilience is evolving in a matter of years. The systems that make it safe, reliable, and broadly beneficial must be built alongside it.

If we get it right, AI can become part of the foundational infrastructure of modern life—expanding access to knowledge, accelerating discovery, and improving lives at a global scale.

But that outcome isn’t guaranteed. No general purpose technology ever made itself safe.

Resilience is a permanent discipline that requires many people and institutions to build, invest, and collaborate. That is the work ahead, and it is one of the defining challenges of our time. We hope you’ll join us.

Footnotes

  1. 1

    The OpenAI Foundation expects to invest more than $1 billion across several programs over the next year, and $25 billion in AI Resilience and Life Sciences & Curing Disease in the years ahead.

  2. 2

    The economic impacts of AI are part of the broader AI resilience agenda. Given the scale of the economic transition, the Foundation is developing this work as a separate program. Read more here.

  • Thank you to Zach Sims for helping develop this piece.
  • Acknowledgements: Jeff Arnold, Naomi Bashkansky, Sean Coey, Rebecca Distler, Adrien Ecoffet, Tarun Gogineni, Mike Heimowitz, Alice Lee, Leyan Lo, Rodney Manabat, Mike McCormick, Cody Nguyen, Yonadav Shavit, Kendal Simon, Divya Siddarth, Jacob Trefethen.