import seaborn as sns

import matplotlib.pyplot as plt

import pandas as pd

# Create the DataFrame from the table data

data $=\{$

'Risk Description': $[$

'Unwanted Outputs, Bias',

'Lack of Quality, Factuality',

'Lack of Timeliness',

'Lack of Explainability',

'Insecure Generated Code',

'Incorrect Response to Inputs',

'Automation Bias',

'Misinterpreting Text as Instruction',

'Lack of Confidentiality',

'Self$-$reinforcing Impacts',

'Developer Dependence',

'Misinformation',

'Social Engineering',

$\text{'}$Re$-$identification',

'Surveillance Concerns',

'Malware Creation',

'Malware Placement',

'RCE Attacks',

'Training Data Reconstruction',

'Model Subversion',

'Member Reasoning Attacks',

'Homograph Attacks',

'Prompt Injection Attacks',

'Data Poisoning',

'Model Poisoning',

'Learning Transfer Attacks',

'Environmental Impact',

'Economic Disruption',

'Overreliance$/$Dependency$\text{'},$

'Dual Use Concerns',

'Unforeseen Consequences'

$],$

'Planning': $[1,0,1,0,0,0,0,0,1,0,0,1,0,1,1,0,0,0,0,0,0,1,0,0,0,0,1,1,0,1,0],$

'Data': $[1,1,1,0,0,1,0,0,1,0,0,1,0,1,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0],$

'Development': $[1,1,0,1,1,1,0,1,1,1,1,1,1,0,1,1,0,0,1,1,1,0,1,0,1,0,0,0,0,0],$

'Operation': $[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,0,1,1,0,1,1,1,1,0,0,0,0,0,1,0],$

'Ethical': $[1,1,0,1,0,1,1,0,1,1,1,1,1,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1],$

'Legal': $[1,1,0,1,1,1,0,0,1,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0],$

'Technical': $[1,1,0,1,1,0,0,0,1,0,0,0,0,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0],$

'Societal': $[1,1,1,1,1,1,1,0,1,1,1,1,1,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1],$

'Economic': $[1,1,1,0,1,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0],$

$\}$

df $=$ pd$.$DataFrame$($data$)$

plt$.$figure$($figsize$=(15,10))$ # Adjust figure size as needed

sns$.$set$($font$\_$scale$=0\mathrm{.}9)$ # Adjust font size for readability

sns$.$heatmap$($df$.$set$\_$index$(\text{'}$Risk Description'$).$transpose$(),$ cmap$=$"YlOrRd", annot$=$True, fmt$=\text{'}$d$\text{'},$ cbar$\_$kws$=\{\text{'}$label$\text{'}$: 'Risk Presence'$\})$

plt$.$title$(\text{'}$AI System Lifecycle & Impact Risk Assessment Heatmap', fontsize$=14)$

plt$.$xlabel$(\text{'}$Lifecycle Phase $/$ Impact Category', fontsize$=12)$

plt$.$ylabel$(\text{'}$Risk Description', fontsize$=12)$

plt$.$xticks$($rotation$=45,$ ha$=$"right", fontsize$=10)$ # Rotate x$-$axis labels for better readability

plt$.$yticks$($fontsize$=10)$

plt$.$show$()$ Let's create a heatmap to visualize the AI risks across the lifecycle phases and their broader impacts.