AI Insights
AI Insights
Practical notes on AI regulation, governance, and the law of building with machine learning.
Türkiye'nin Muhtemel Yapay Zeka Yasası: Veri Egemenliği, Telif Hakları, Algoritmik Şeffaflık ve Hukuki Sorumluluk (Bölüm 3)
Yapay zeka sistemleri sadece kod parçacıklarından ibaret değildir; onlar karar veren, üreten, teşhis koyan, sanat eserleri oluşturan ve bazen de "hata yapan" otonom aktörlerdir. Bir tıp yapay zekası yanlış teşhis koyduğunda hasta kime dava açacaktır? Üretken bir yapay zeka, dünyaca ünlü bir yazarın üslubunu kopyalayarak yeni bir kitap yazdığında telif hakkı kime aittir? Türkiye Cumhuriyeti vatandaşlarının sağlık, finans ve eğitim verileri, ABD merkezli yapay zeka sunucularını eğitmek için kullanılabilir mi? Okumakta olduğunuz bu üçüncü ve en kapsamlı bölüm, Türkiye'nin hazırlayacağı muhtemel bir Yapay Zeka Yasası'nın hukuki, etik ve ulusal güvenlik boyutlarına ışık tutmaktadır. Bu bölüm, politika yapıcılar, hukukçular, veri bilimciler ve teknolojinin sosyal etkileriyle ilgilenen herkes için derinlemesine bir başvuru kaynağı olarak tasarlanmıştır.
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Turkey's Prospective AI Act: New Employment Areas and Opportunities (Part 2)
The vast majority of debates surrounding the Artificial Intelligence (AI) revolution are understandably framed around the fear of job displacement. In the first part of our report, we examined the magnitude of this threat by mapping Turkey's sectoral risks. However, human history demonstrates that technological revolutions consistently create a greater number of higher-skilled jobs than they destroy. The invention of the printing press may have left scribes unemployed, but it spawned massive publishing, journalism, and library sectors. A prospective Turkish AI Act must not only be designed with a defensive reflex to protect existing employment, but also with an offensive vision to capture a share of the global pie in the entirely new business sectors AI will generate. Turkey possesses significant strategic advantages to adopt this "New Collar" employment model that will be created by artificial intelligence.
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Türkiye's Potential Artificial Intelligence Law: Proposals on Employment Protection and Sectoral Quotas (Part 1)
The Artificial Intelligence (AI) revolution, much like the Industrial Revolution, is fundamentally rewriting the paradigms of production. However, this time, it is not just physical labor at risk, but cognitive and analytical human effort as well. For countries with young and dynamic labor forces like Turkey, adopting AI is a necessity for global competitiveness, but this integration requires legal guardrails so it doesn't spiral into an "employment crisis."
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Beyond the Hype: Structuring Corporate AI Liability in Türkiye and the GCC
As artificial intelligence integrates into core business operations across Türkiye and the Gulf Cooperation Council (GCC) region, the question of corporate liability is shifting from hypothetical debates to boardroom realities. This article explores how organizations can navigate the evolving legal frameworks, allocate risk in international AI vendor contracts, and protect their operations against algorithmic failures.
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Algorithmic Discrimination in HR: Navigating the Ethical and Legal Minefield in Türkiye and the Middle East
As Human Resources departments across Türkiye and the GCC increasingly rely on AI to screen CVs, analyze video interviews, and predict employee performance, the risk of algorithmic discrimination is skyrocketing. This article breaks down the legal frameworks, from KVKK to GCC employment laws, governing automated decision-making and how global companies can prevent biased algorithms from triggering severe legal and reputational damage.
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Training AI Across Borders: Data Flow Mechanics Between Türkiye and the GCC
The fuel for any enterprise AI system is data, but moving that data across international borders to train or host models triggers immense legal complexities. Following recent amendments to Türkiye’s KVKK and the evolution of GCC privacy laws, this article analyzes the legal mechanics and cloud infrastructure strategies required to lawfully transfer training data between Türkiye, the Middle East, and global tech hubs.
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The EU AI Act's high-risk deadline just moved — don't slow down
A political agreement reached in May 2026 (the 'Digital Omnibus') would push the high-risk deadline from August 2026 to December 2027. Here is what actually changes — and what does not.
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Agentic AI: who is accountable when your AI acts on its own?
AI agents no longer just answer questions — they take actions: booking, buying, sending, executing. When an autonomous agent causes harm, the liability question gets sharp.
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Marking AI-generated content: the transparency rules you can't ignore
If your product generates or manipulates images, audio, video, or text, you will soon have to say so — clearly and in machine-readable form. Here is what is coming and how to prepare.
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Automated Discrimination: The Hidden Risks of AI in Human Resources
To manage global talent pools and navigate complex hiring environments, multinational corporations are increasingly relying on AI-driven Applicant Tracking Systems (ATS) and algorithmic HR software.
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Which EU AI Act risk tier are you in?
Most founders assume the AI Act doesn't apply to them. Often it does — just not in the tier they expect. Here is how to find yours.
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Training data: the KVKK and GDPR questions to settle first
Before you scale an AI dataset, you must definitively settle the lawful basis, purpose limitation, and cross-border transfers. Attempting to retrofit consent or compliance mechanisms later is the most expensive and risky path a company can take.
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