Develop ai security processes to counter evolving threats

Assignment Help Management Information Sys

Reference no: EM133699674

Assignment:

The National Security Strategy identifies artificial intelligence as an emerging technology "critical to economic growth and security," noting that "from self-driving cars to autonomous weapons, the field of artificial intelligence, in particular, is progressing rapidly."

Background:

Artificial Intelligence (AI), machine learning (ML) deep learning, and data analytics are already impacting the security, public, and private sectors. For example, the National Geospatial-Intelligence Agency (NGA) is one of the biggest generators of data in the Intelligence Community (IC). The volumes of data being collected and processed are increasing exponentially from a constant stream of satellite, drone, and open-source imagery collection sources. NGA plans to integrate AI to comb through this intelligence data and apply heavily advanced machine learning algorithms. Processing what had taken many weeks could be accomplished in hours and minutes. AI is poised to become vital to NGA as new mission requirements become more complex.

The IC has high aspirations for AI and digital transformation to save time and money, boost operational efficiency, improve key processes, and increase productivity. This interaction of humans and machines will be a game-changer as new AI tools complement people's skills.

Despite these digital ambitions, there are implications. AI machines learn with human guidance with no immediate prospect of surpassing the human ability to process and respond to new and unexpected scenarios. This new technology can deliver great benefits and reduce risk, but the IC faces multiple challenges needed to adopt future innovation and transformation. These challenges should be addressed through:

• Provide IC leadership transformation guidance and policy direction in budget planning, resource management, personnel alignment, and establishing day-to-day priorities.

• Expand partnerships with the private industry lead in developing these new technologies, able to provide technical expertise, and increase research and development collaboration. Most AI research advances occur in the private sector and academia.

• Manage the IC workforce to develop technical skills, incorporate new training, and form new teaming partnerships to access talent.

• Create a culture of change that embraces collaboration between the IT and analytical/collection sectors to improve speed and agility.

• Develop AI security processes to counter evolving threats such as misclassifying data, trojans, and model inversion. Breaches can provide adversaries with sensitivity and insights.

• Establish trust in AI technologies and manage expectations to ensure they align with the IC's mission, core values, and ethical principles so humans remain responsible for oversight and strategic thinking.

We are an intelligence staff officer in the Office of the Director of National Intelligence and HOW TO task on the integration of AI, ML, deep learning, and data analytics throughout the IC. Address at least three of the six listed challenges providing background, issues, and recommendations.

Reference no: EM133699674

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