Assessing the Impact of Generative AI for evaluating Risks, Ethics Frontiers and Societal Integration

Generative AI systems, which generate content in various formats, are increasingly prevalent across multiple fields like medicine, news, politics, and even providing companionship in social interactions. Initially, these systems primarily produced information in a single format, such as text or graphics, but there is now a notable trend towards enhancing their adaptability to work with additional formats like audio (including voice and music) and video.

The rising usage of generative AI systems underscores the critical need to evaluate potential risks associated with their deployment. As these technologies become more widespread and integrated into diverse applications, concerns about public safety are mounting. Consequently, assessing the potential risks posed by these systems has become a top priority for AI developers, policymakers, regulators, and civil society.

The increasing utilization of these systems underscores the essentiality of evaluating potential dangers linked to the implementation of generative AI systems. Thus, it is becoming increasingly crucial for AI developers, regulators, and civil society to appraise the potential threats these systems might pose. The development of AI that could propagate misinformation raises ethical questions about its societal impact.

In response to these concerns, DeepMind, Google’s AI research lab, has published a paper proposing a framework for assessing the societal and ethical risks associated with AI systems. DeepMind’s proposal emphasizes the necessity for engagement from various stakeholders, including AI developers, app developers, and the general public, in evaluating and auditing AI systems. The research lab underscores the significance of examining AI systems at the “point of human interaction” and understanding their integration into society.

You can checkout the paper here.

Asahi

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