Launch Manifesto: Journal of AI Safety, Ethics, and Alignment Science (JASEAS)— Engineering Trustworthy AI
Core Mission
As AI capabilities advance, ensuring their safety, reliability, and alignment with human values has become a defining challenge of our future. The Journal of AI Safety, Ethics, and Alignment Science (JASEAS) launches to fill the critical publishing gap between technical AI research and scholarship in ethics, law, and policy, serving as a cornerstone academic platform for building trustworthy AI infrastructures.
Our Distinct Niche: A Triple Fusion
JASEAS is committed to advancing research that deeply integrates three critical dimensions:
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The Technical Dimension: Focusing on core engineering challenges like interpretability, robustness, failure mode analysis, red teaming, and alignment algorithms.
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The Ethical & Governance Dimension: Addressing normative and institutional issues such as fairness, accountability, human control, regulatory frameworks, and standardization.
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The Societal & Application Dimension: Assessing real-world deployment risks and societal impacts, and conducting cross-domain case studies.
For Authors & Readers
We seek to serve and publish work from:
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Technical Researchers: Scientists and engineers developing methods for AI safety, interpretability, evaluation benchmarks, and alignment.
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Ethics, Law & Policy Scholars: Experts studying AI's societal impacts, governance models, regulation, and standards.
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Industry Leaders & Regulators: Practitioners who need cutting-edge insights to guide product development, risk management, and policy.
Scope in Focus
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Foundations: Mathematical and computational frameworks for AI safety and alignment.
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Evaluation & Testing: Benchmarking, risk assessment, adversarial testing protocols.
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Governance & Practice: Deployment guidelines from lab to real world, audit trails, industry standards.
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Case Studies: Safety and ethics practices in critical domains like autonomous driving, healthcare, and finance.
