1.      Sharma, M. K., John, N., & Sahu, M. (2020). Influence of social media on mental health: a
systematic review. Current opinion in psychiatry, 33(5), 467-475.

This article provides a comprehensive review of the existing literature on the impact of social
media on mental health. The authors analyze over 40 studies to assess the relationship between
social media use and mental health outcomes, such as depression, anxiety, and loneliness. They
found that the relationship between social media use and mental health outcomes is complex and
nuanced, with mixed evidence for both positive and negative effects. For example, while some
studies suggest that social media use can lead to increased feelings of loneliness and depression,
others indicate that it can also provide opportunities for social support and connection. The
authors conclude that future research should aim to disentangle the specific mechanisms by which
social media use affects mental health outcomes and to develop interventions that help mitigate any
negative effects.


2.      Cianconi, P., Betrò, S., & Janiri, L. (2020). The impact of climate change on mental
health: a systematic descriptive review. Frontiers in psychiatry, 11, 74.

This systematic review examines the impact of climate change on mental health, an area of
increasing concern as the effects of climate change become more widespread and severe. The authors
analyze 57 studies from a variety of disciplines, including psychology, public health, and
environmental studies, and find that climate change can have significant negative impacts on mental
health outcomes, such as anxiety, depression, and post-traumatic stress disorder. They also
identify a number of potentially protective factors, such as social support and community
resilience, that can help mitigate these negative effects. The authors conclude that further
research is needed to better understand the mechanisms by which climate change affects mental
health and to develop interventions that can promote resilience and adaptation.


3.      Bostrom, N., & Yudkowsky, E. (2018). The ethics of artificial intelligence. In Artificial
intelligence safety and security (pp. 57-69). Chapman and Hall/CRC.

Bostrom and Yudkowsky explore the ethical implications of artificial intelligence (AI). They argue
that as AI becomes increasingly advanced, it poses significant ethical challenges, including the
risk of unintended consequences, the potential for AI to act in ways that conflict with human
values, and the possibility of AI systems being used for malicious purposes.

The authors propose a range of ethical principles that could guide the development and use of AI,
including transparency, accountability, and respect for human values. They also discuss the
challenges of implementing these principles in practice, given the complexity and unpredictability
of AI systems.

This study provides a comprehensive overview of the ethical challenges posed by AI, as well as
potential solutions. The authors' proposed ethical principles could be useful for policymakers and
industry leaders seeking to promote the responsible development and use of AI.