1) Find a recent news article discussing a social issue and related policy (copy the link and paste in your post).
2) Employ EITHER the multiple streams framework OR the narrative policy framework to break down what is contributing to the policies being implemented or discussed. (Hint: Using either framework will require discussion of key actors in the policy debate, how they are framing the social "problem," what policy/policies are being considered, etc.).
Note: It does not matter if you agree or disagree with the perspectives being offered in the news article. While we, as humans and professionals, can never fully set aside our personal experiences and biases, an important part of policy practice is being able to objectively analyze and report the dynamics influencing the policymaking process.
Full Answer Section
The article also discusses the challenges of using AI to address homelessness, such as the need for data privacy and security, and the need to ensure that AI is used in an equitable and ethical manner.
Multiple streams framework
The multiple streams framework is a policy analysis framework that suggests that policy change occurs when three streams align: the problem stream, the policy stream, and the political stream.
Problem stream: The problem stream includes the public's perception of the problem, the media's coverage of the problem, and the attention that the problem is receiving from policymakers.
Policy stream: The policy stream includes the variety of policy solutions that are being proposed to address the problem, the evidence that supports these solutions, and the political feasibility of these solutions.
Political stream: The political stream includes the distribution of power among different stakeholders, the public's preferences, and the current political climate.
How the multiple streams framework can be used to analyze the use of AI to address homelessness
The multiple streams framework can be used to analyze the use of AI to address homelessness by examining how the problem stream, policy stream, and political stream all align.
Problem stream: The public is increasingly aware of the problem of homelessness, and the media is giving more attention to the issue. Policymakers are also paying more attention to homelessness, as evidenced by the number of bills that have been introduced on the issue in recent years.
Policy stream: There is a growing body of research on the use of AI to address homelessness. This research suggests that AI can be used to predict homelessness, identify homeless individuals, and provide services to homeless individuals. However, there are also some challenges associated with the use of AI to address homelessness, such as the need for data privacy and security, and the need to ensure that AI is used in an equitable and ethical manner.
Political stream: There is a growing coalition of stakeholders who are interested in using AI to address homelessness. This coalition includes homeless individuals, advocates, and policymakers. The public is also supportive of using AI to address homelessness. However, there are also some challenges associated with the use of AI to address homelessness, such as the need for funding and the need to overcome public concerns about privacy and bias.
Alignment of the three streams: The problem stream, policy stream, and political stream are all aligning to support the use of AI to address homelessness. The public is aware of the problem, there are a number of policy solutions being proposed, and there is a growing coalition of stakeholders who are interested in using AI to address homelessness.
Narrative policy framework
The narrative policy framework is a policy analysis framework that suggests that policy change is influenced by the stories that are told about social problems. These stories can be told by a variety of actors, such as politicians, the media, and advocacy groups.
How the narrative policy framework can be used to analyze the use of AI to address homelessness
The narrative policy framework can be used to analyze the use of AI to address homelessness by examining the stories that are being told about AI and homelessness.
One story that is being told is that AI can be used to solve the problem of homelessness. This story is told by advocates and policymakers who believe that AI can be used to predict homelessness, identify homeless individuals, and provide services to homeless individuals.
Another story that is being told is that AI is a threat to homeless individuals. This story is told by some advocates who are concerned about the potential for AI to be used to discriminate against homeless individuals and to violate their privacy.
The narrative policy framework suggests that the stories that are told about AI and homelessness will influence policy change. If the story that AI can be used to solve the problem of homelessness becomes the dominant story, then we are more likely to see policies implemented that promote the use of AI to address homelessness. However, if the story that AI is a threat to homeless individuals becomes the dominant story, then we are more likely to see policies implemented that restrict the use of AI to address homelessness.
Conclusion
The use of AI to address homelessness is a complex issue. The multiple streams framework and the narrative policy framework can be used to analyze the factors that are contributing to the policies that are being implemented or discussed