Formulas and functions: Rich function library, used for data calculation, statistical analysis, logical judgment, etc.

Data visualization: Create multiple chart types to visually display data relationships and trends.

Data sorting and filtering: Sort and filter data according to specific rules, and extract key information.

(II) Advantages in data processing

Ease of use: friendly interface, simple operation, easy to use by policy makers.

Flexibility: Applicable to different structures and types of data processing, and can be flexibly adjusted according to needs.

Efficiency: Can quickly process large amounts of data and improve work efficiency.

4. Building ethical policy decision-making tools based on Excel

(I) Requirement Analysis

Data collection and collation: Integrate multi-party source artificial intelligence ethics related data.

Risk Assessment: Quantitatively evaluate the ethical risks of artificial intelligence applications.

Plan comparison: Comparison of the advantages and disadvantages of different ethical policy plans.

Scenario simulation: simulate the effect of policy implementation.

(II) Tool design architecture

Data input module: Set up a special worksheet for entering various basic data.

Calculation and analysis module: use formulas and functions to calculate data, risk scores, etc.

Visual display module: presents analysis results in a graph form to assist in decision-making and judgment.

Scenario simulation module: simulates different policy scenarios through data assumptions and model operations.

(III) Implementation of key functions

Construction of ethical risk assessment model: Use Excel function to construct risk assessment formulas, assign weights to different risk factors and calculate comprehensive risk values.

Policy plan comparison matrix: design a comparison matrix to visually display the performance of each plan under different evaluation indicators.

Scenario simulation parameter settings: Set flexible parameter adjustment areas to facilitate simulation of different scenarios.

V. Application case analysis

(I) Case selection and background introduction

A certain regional government was selected as a case to formulate ethical policy projects for the application of artificial intelligence in the medical field, and to introduce the current status of artificial intelligence application in the medical industry in the region and the main ethical issues facing it.

(II) Application process based on Excel tools

Data collection and entry: Collect medical data security, algorithm fairness and other related data and enter it into Excel.

Risk assessment and analysis: Use tools to conduct ethical risk assessment and generate risk reports.

Policy plan formulation and comparison: formulate multiple sets of ethical policy plans and analyze them through tools.

Scenario simulation and decision-making: Conduct scenario simulation and select the optimal policy plan based on the simulation results.

(III) Application effect evaluation

Improve decision-making efficiency: Compare the time before and after application of policy formulation, and evaluate the degree of efficiency improvement.

Enhanced scientific nature of decision-making: analyze the basis of decision-making and the rationality of results, and evaluate scientific improvements.

Policy implementation feedback: track policy implementation, collect feedback, and verify the effectiveness of the tool.

6. Conclusion and Outlook

(I) Summary of research results

Summarize the application methods and effects of Excel in the formulation of artificial intelligence ethical policies, and verify the feasibility and practicality of building ethical policy decision-making tools based on Excel.

(II) Inadequate research and improvement direction

It points out that the research is insufficient in data complexity processing, model universality, etc., and puts forward suggestions for future improvements.

(III) Future research prospects

Discuss the use of more advanced data analysis technology to expand the functions and application scope of tools, and provide stronger support for the formulation of artificial intelligence ethics policy.