Introduction
In criminal justice systems around the world, the question of “How dangerous is this person?” often shapes the outcome of sentencing and parole decisions. While several countries have turned to structured psychological tools such as the Historical-Clinical-Risk-20 (HCR-20) and Static-99 to bring transparency and consistency to these high-stakes judgments, India continues to rely almost entirely on clinical impressions and unstructured expert opinion. Research has shown that structured risk assessment tools can improve predictive accuracy and reduce personal bias by combining historical, clinical, and situational factors in a standardised way (Challinor et al., 2021). Meta-analytic evidence suggests that instruments like the HCR-20 demonstrate moderate validity across populations, particularly in assessing the likelihood of future violent or sexual offending (Rossdale, Tully, & Egan, 2019). Yet, critics caution that these tools were developed in Western cultural and legal contexts, and may not seamlessly translate to settings like India, where the socio-legal fabric and correctional realities differ markedly. In the absence of a standardised risk assessment framework, Indian courts face a troubling gap—sentencing and parole often depend on subjective evaluations, leaving room for inconsistency and implicit bias. This paper explores whether India should consider formally integrating structured psychological risk assessment tools into its judicial process, and what such a framework might look like in the Indian context.
Forensic psychology lies at the intersection of psychology and the law, applying psychological principles to legal questions such as criminal responsibility, competency, and risk of reoffending. It encompasses psychological assessment, offender profiling, expert testimony, and rehabilitation planning. Within this broader domain, this paper focuses specifically on the use of psychological risk assessment tools during sentencing and parole decisions, an area where forensic psychology directly informs judicial discretion and public safety outcomes.
Sentencing decisions in criminal justice systems are among the most complex and consequential judgments made by courts, balancing the aims of punishment, deterrence, and rehabilitation. In recent years, psychological risk assessment tools—scientifically developed instruments that estimate the likelihood of reoffending—have gained traction across several jurisdictions. For example, the HCR-20 has been shown to significantly predict both violent and non-violent offending among forensic psychiatric patients in the UK, where the historical and risk management subscales performed particularly well over short follow-up periods (Nicola S. Gray et al., 2008). Cambridge University Press & Assessment Tools such as HCR-20V3, have also demonstrated good predictive validity in Australian forensic samples, with area under the curve (AUC) values between 0.70 and 0.77 for violent recidivism (PubMed). However, in India, sentencing continues to rely largely on unstructured psychiatric opinions and judicial discretion, with minimal use of validated or locally adapted risk assessment instruments. This raises important concerns about the consistency, fairness, and scientific basis of sentencing outcomes. As the Indian criminal justice system increasingly engages with evidence-based policy reforms, the question becomes whether integrating actuarial and structured professional judgment tools is feasible, ethical, and beneficial. This paper examines whether India should formally adopt such psychological risk assessment tools in its sentencing and parole decisions, exploring their advantages, limitations, and the policy framework necessary for their ethical and effective implementation.
In India, empirical research and policy dialogue on offender risk assessment remain limited, reflecting a broader gap between psychological expertise and judicial decision-making. Studies of prison populations suggest that recidivism is influenced by intersecting psychosocial and structural factors such as unemployment, substance dependence, and social stigma (Syasylia et al., 2025). A study conducted among juvenile offenders in Punjab revealed high rates of behavioural problems and emotional dysregulation, highlighting the need for structured assessment frameworks to identify and manage criminogenic risks (Singh & Gupta, 2018). Recent initiatives—such as mental health screening pilots in Tihar and Yerwada prisons—indicate a growing institutional interest in using psychological tools for offender management, yet these remain fragmented and lack standardized protocols (National Institute of Mental Health and Neurosciences (NIMHANS), 2021). The Model Prison Manual (2016), issued by the Ministry of Home Affairs, also recommends psychological evaluation for parole consideration, but offers no guidance on methodology or reliability standards. Consequently, sentencing and parole decisions continue to rely on clinical diagnoses grounded in the ICD-10 or DSM-5, systems that were not designed for risk prediction and are limited by their diagnostic, rather than predictive, focus. The DSM-5, in particular, has been criticized in India for its “atheoretical approach” that promotes a purely biomedical agenda and does not provide enough context for the diversity of Indian cultures (Karter & Kamens, 2018). This disconnect underscores the urgent need to develop culturally validated, evidence-based risk assessment tools suited to Indian correctional and judicial contexts.
