Anthropic dan OpenAI Akui Risiko Bioweapon dari AI, Ini Faktanya

Telset.id – Anthropic dan OpenAI secara terbuka mengakui bahwa model AI mereka berpotensi disalahgunakan untuk mendukung pengembangan bioweapon. Anthropic dalam laporannya menyebut penyalahgunaan biologis sebagai “salah satu risiko paling serius dari model AI frontier”, sementara CEO Dario Amodei mendesak pemerintah membantu laboratorium AI “memperlambat laju frontier”. Pernyataan itu disampaikan setelah Anthropic merilis laporan yang mengungkap adanya upaya memakai Claude dengan cara yang “dapat mendukung pengembangan senjata biologis”.

CEO OpenAI Sam Altman merespons di X dengan pernyataan singkat: “Saya setuju dengan Dario bahwa kita perlu memperlambat laju frontier.” Sebelumnya, peneliti AI Jacob Coxon mengumumkan mundur dari Anthropic dan menuduh Anthropic maupun OpenAI—tempat ia pernah bekerja—tidak bertindak bertanggung jawab. “Orang-orang yang membangun AI sungguh-sungguh percaya bahwa AI bisa membunuh kita semua pada akhir dekade ini,” tulisnya di X. Karyawan Anthropic lainnya, Evan Hubinger, menyatakan setuju dan menyebut keyakinannya bahwa risiko itu “lebih dari 10% dalam dekade berikutnya”.

Kekhawatiran ini bukan tanpa dasar. Pada 2022, peneliti di Collaborations Pharmaceuticals menemukan bahwa AI “molecule generator” yang mereka kembangkan untuk mencari obat penyakit manusia justru bisa dengan mudah menghasilkan agen berbahaya. Dalam waktu kurang dari enam jam, model tersebut menghasilkan 40.000 molekul yang berpotensi menjadi agen perang kimia. Sebagian di antaranya dirancang lebih toksik daripada nerve agent yang sudah dikenal. “Tanpa bersikap terlalu alarmis, ini seharusnya menjadi wake-up call bagi kolega kami di komunitas ‘AI in drug discovery’,” tulis para penulis saat itu.

Mengapa AI Dianggap Bukan Hambatan Utama

Meski alarm soal AI-created killer plague terus muncul, banyak ilmuwan menilai risiko itu relatif rendah dalam daftar kekhawatiran dunia. David Bellamy, peneliti di Institute of Foundation Models di Sunnyvale, California, tidak melihat AI sebagai ancaman yang sepenuhnya baru untuk pembuatan bioweapon. Komunitas ilmiah sudah bergulat selama puluhan tahun dengan pertanyaan apakah riset biologi berpotensi berbahaya boleh dipublikasikan—yang dikenal sebagai dual-use dilemma.

Sebelum era large language model, internet, jurnal sains open-access, dan layanan terjemahan seperti Google Translate sudah mempermudah akses informasi biologis, termasuk protokol laboratorium. “AI pada dasarnya adalah alat yang dapat membantu aktor baik, seperti ilmuwan, dan juga aktor ancaman untuk menelusuri informasi lebih cepat, mendefinisikan dan mencari protokol tersebut lebih cepat,” kata Bellamy. “Tetapi kemampuan itu bukan hambatan utama dalam produksi bioweapon.”

Hambatan sebenarnya, menurut Bellamy, adalah proses merakit virus atau agen biologis lain serta bahan mentah, peralatan, dan pengetahuan yang dibutuhkan. Aktor jahat perlu mendapatkan fragmen gen yang diperlukan dan membangun genom utuh dari nol, lalu memverifikasi bahwa virus itu bisa menginfeksi manusia, menyebabkan penyakit yang diinginkan, dan menular antar manusia. Asisten laboratorium robotik dapat mengotomatiskan sebagian tugas dan mempercepat alur kerja sampai titik tertentu, tetapi seseorang tetap perlu mengetahui cara menjalankan eksperimen tersebut dan memiliki sumber daya untuk melakukannya.

Robot, Manusia, dan Batas Autonomi Laboratorium

Jason Kelly, CEO startup bioteknologi Ginkgo Bioworks, menilai kecil kemungkinan artificial general intelligence bisa membajak dan menyebarkan patogen yang ada, apalagi merekayasa patogen baru lalu mengerahkan senjata biologis. Ginkgo Bioworks berspesialisasi membuat laboratorium otonom dan baru-baru ini menjalankan proyek bersama OpenAI, di mana model GPT-5 menjalankan sebuah laboratorium. “AI tidak bisa mengambil alih laboratorium itu,” kata Kelly. Salah satu alasannya, manusia yang bekerja di dalamnya bisa sekadar menolak memberikan zat dan peralatan yang diminta bot untuk memproduksi bioweapon secara fisik.

Semua manusia yang berperan sebagai pengawas itu berarti “kamu harus punya jauh lebih banyak robot di mana-mana” agar sebuah AGI bisa mengerahkan mesin untuk melakukan pekerjaan virologi yang sering kali rumit. Immunolog Derya Unutmaz juga menilai manusia bisa menggagalkan upaya AGI mengembangkan penyakit mematikan. Bahkan jika superintelligence jahat berhasil melepaskan supervirus, ia berpendapat ilmuwan dapat memakai sistem AI lain untuk mengembangkan vaksin dengan cepat.

Olivia Scharfman, biotechnology fellow di lembaga pemikir teknologi Institute for Progress, menegaskan, “Mustahil bagi AI untuk mengakses laboratorium yang sepenuhnya otonom dan membangun virus secara otonom hari ini, karena laboratorium yang sepenuhnya otonom belum ada.” Namun ia menambahkan, “Tetapi saya pikir AI bisa membayar seseorang untuk melakukannya.” Ia menilai bioterorisme berbantuan AI adalah ancaman langsung, dan ada kelompok yang cukup nihilis untuk melakukannya, termasuk “transhumanist AI successionists”—orang-orang yang menganut ideologi pinggiran yang berharap menggantikan manusia dengan bot.

Anthropic dalam laporannya mengakui bahwa ada upaya memakai model mereka untuk mengeksplorasi cara membuat virus chikungunya lebih menular, menciptakan bentuk flu burung yang lebih berbahaya bagi manusia, dan membangun “atlas of venom toxin peptides”, di antara berbagai hal lain. “Kami mengalami tarik-menarik terus-menerus,” kata David Magnus, profesor kedokteran dan etika biomedis di Stanford University. “Kami harus membangun alat pengawasan dan penyaringan yang lebih baik, tetapi AI sangat baik dalam menemukan cara mengelilinginya.” Menurutnya, manusia kemungkinan perlu memakai AI untuk menemukan cara membatasi penggunaan AI.

Sebelum aktor jahat sampai ke titik itu, hampir semua pihak sepakat model harus memiliki pengaman yang tepat agar tidak memberikan informasi berbahaya yang bisa ditindaklanjuti. Magnus mengaku sangat terkejut dengan temuan Collaborations Pharmaceuticals, meski ia sudah menilai risiko penyalahgunaan ilmu kedokteran dan bioteknologi sejak akhir 1990-an. “Itu sangat menakutkan bagi saya,” ujarnya. “Tentu saja, segala hal sejak itu seperti meledak.”

Dunja Sabra, peneliti biosekuriti di University of Hamburg di Jerman, menyoroti bahwa AI bot hari ini dapat menjawab pertanyaan di seluruh bidang sains. Siapa pun bisa memakai large language model yang dilatih dengan pengetahuan dan pengalaman “hampir setiap ilmuwan yang pernah hidup di planet ini”. Model tersebut dapat memberikan instruksi dan pelatihan video tentang cara melakukan eksperimen. Gabungkan dengan kemajuan bioteknologi yang membuat gene editing dan alat synthetic biology jauh lebih mudah diakses—gerakan “DIY biology” sudah memungkinkan banyak orang menyiapkan laboratorium di rumah—dan situasinya berpotensi sangat berbahaya. “Kemungkinannya adalah seseorang yang bertekad akan berhasil pada akhirnya,” kata Sabra.

Ada pengaman yang sudah berjalan. Orang yang ingin membangun genom baru biasanya harus memesan potongan DNA dari perusahaan yang menyaring permintaan mencurigakan. Peneliti yang bertanggung jawab melewatkan riset berisiko melalui analisis bernama “red-teaming”, di mana ilmuwan independen mencari cara karya itu bisa disalahgunakan, dan “blue-teaming”, di mana pihak lain merumuskan mitigasi potensial. Perusahaan AI juga telah menyesuaikan alat mereka untuk mencegah pemberian informasi ilmiah yang bisa disalahgunakan. Namun tidak ada perlindungan yang sepenuhnya kuat.

Perbedaan Pandangan dan Langkah Mitigasi

Tidak semua ilmuwan sepakat soal tingkat risikonya. Dalam sebuah media briefing, sejumlah biolog di Imperial College London berargumen bahwa alat AI belum cukup baik untuk sepenuhnya mengembangkan bioweapon, dan pengujian patogen baru memerlukan kerja manusia yang sulit serta memakan waktu. Sebagian menilai guardrail yang ada sudah memadai. Wendy Barclay, profesor penyakit menular di Imperial, menunjukkan bahwa risiko pandemi terbesar saat ini bukan dari bioweapon, melainkan dari patogen yang sudah beredar. Contohnya H5N1, virus flu burung yang telah membunuh jutaan burung dan menyebar luas melalui sapi perah Amerika Serikat; bulan lalu virus itu juga terdeteksi pada mink yang ditangkarkan di sebuah peternakan di Utah.

Francois Belloux, ahli genetika dan profesor biologi komputasi, menilai risiko tersebut agak disalahpahami. Ia menyebut orang cenderung “melebih-lebihkan nilai patogen sebagai senjata”. Terlepas dari persoalan AGI, Belloux mengatakan bioweapon bukan pilihan yang menarik bagi calon pelaku genosida, terutama karena sulit menargetkan kelompok tertentu dan menyelamatkan yang lain, serta memproduksi dan mendistribusikan patogen secara massal rumit secara logistik dibandingkan, misalnya, meluncurkan bom. “Jika kamu ingin membunuh orang, ada banyak, sangat banyak cara yang jauh lebih baik untuk membunuh mereka daripada mencoba merekayasa virus atau bakteri lalu melepaskannya,” katanya—baik kamu adalah pikiran artifisial paling canggih yang pernah diciptakan maupun manusia biasa.

Sabra memilih berpikir lima sampai sepuluh tahun ke depan. Negara-negara harus memperkuat sistem layanan kesehatan, menyiapkan antidot untuk toksin yang diketahui, dan menimbun obat-obatan. “Kita perlu bersiap,” ujarnya. Kevin Esvelt, biolog MIT yang menemukan teknologi untuk mempercepat penyebaran fitur genetik ke seluruh populasi sekaligus cara membatasi teknologi itu, menyampaikan kekhawatiran serupa dalam unggahan di X pada Rabu. Ia menyatakan sebuah large language model telah “mengungkap bentuk bioweapon baru yang tidak saya sadari mungkin”. Ia menambahkan, “Tolong, demi Tuhan, anak-anak, masa depan umat manusia, atau apa pun yang kamu anggap suci, mari kita condong ke sisi hati-hati di sini.”

Steph Guerra, kepala AI dan bio di lembaga pemikir kebijakan Rand Corporation, menyebut apakah AI secara nyata menaikkan risiko pengembangan bioweapon adalah pertanyaan yang sulit dijawab. “AI telah terbukti sangat baik dalam mengintegrasikan informasi dan memotivasi orang untuk melakukan hal baik maupun buruk,” katanya. Bahkan jika risikonya rendah, masih ada cara masyarakat melindungi diri dari potensi penyalahgunaan. Salah satunya, pemerintah dapat mengadopsi undang-undang yang mewajibkan perusahaan penjual DNA dan RNA sintetis menyaring pelanggan dan pesanan untuk mencegah penyalahgunaan materi genetik. Banyak perusahaan sudah memakai perangkat lunak untuk menyaring pesanan atas apa yang disebut “sequences of concern”, tetapi praktik itu belum universal atau diwajibkan.

Guerra menambahkan, risiko biothreat yang dikembangkan AI juga dapat dimitigasi dengan memperkuat sistem surveilans global untuk mendeteksi wabah penyakit baru dan menyalurkan informasi patogen yang beredar ke peneliti sedini mungkin. Protokol berbagi data lintas perusahaan AI, penyedia sintesis gen, dan pemerintah juga bisa membantu mencegah penyalahgunaan. “Dengan hampir semua kontrol biosekuriti, akan ada cara untuk mengelilinginya,” katanya. “Itulah sebabnya kita perlu pendekatan berlapis yang memberikan friksi di sepanjang jalur, dari ideasi hingga niat aktor jahat, sampai pelepasan bioweapon.”

Scharfman menilai momen ketika AI membawa ancaman bioweapon ke pusat perhatian adalah waktu yang tepat untuk mendorong perlindungan lebih baik terhadap semua ancaman biologis, termasuk patogen yang sudah ada seperti H1N1. Itu bisa mencakup tindakan tingkat tinggi seperti mengesahkan undang-undang untuk memperkuat protokol keamanan di sekitar teknologi sintesis DNA, tetapi ia juga mendukung perubahan untuk memitigasi risiko dari semua virus, seperti meningkatkan sistem pemurnian udara di gedung-gedung.

Unutmaz menyoroti kekhawatiran yang lebih mendesak: semua percakapan soal AI doom mengalihkan perhatian dari bagaimana sistem mutakhir dapat membantu manusia mengembangkan vaksin dan terobosan medis lainnya. “Kita benar-benar perlu fokus pada aspek positifnya,” katanya. Di sisi lain, OpenAI dan Anthropic bukan satu-satunya pihak yang menghadapi pertanyaan soal batas pengamanan model. OpenAI bahkan pernah berselisih dengan Pentagon soal batas penolakan untuk AI militer, menunjukkan bahwa persoalan pengamanan dan penyalahgunaan AI terus menjadi medan perdebatan.

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