Rite Aid Faces Ban on AI Facial Recognition & Avail Launches AI Summarization Tool for Hollywood!
Hey… Hey… Hey…! I feel that for millennials, the mid-life crisis starts a bit early. It’s hard to find long-term motivations and passions. Simply put, the excitement is gone.
Just like glucose spikes in our bodies, we experience motivation spikes, don’t we?
Let’s live a worry-free life, less in our heads and more in the present.
What do we need to succeed?
For me, learning new technology is important, so here we are, learning new things in AI.
Recently, a lot has been happening in the AI world in general.
Rite Aid’s AI Facial Recognition Misuse Leads to FTC Ban
Rite Aid is banned from using facial recognition technology for five years after a Federal Trade Commission (FTC) investigation. The technology, used between 2012 and 2020, inaccurately identified consumers, especially women and people of color, as shoplifters.
The proposed order demands Rite Aid to implement comprehensive biometric information safeguards and to cease using the technology if risks to consumers can’t be controlled.
Rite Aid failed to mitigate risks, test the technology’s accuracy, or train employees properly, leading to false accusations against consumers.
The FTC order requires Rite Aid to delete all collected images and related data, and to notify consumers when their biometric information is used.
Avail’s AI Tool Revolutionizes Script Coverage in Film and TV
Avail introduces a ChatGPT-powered tool for summarizing scripts and books, easing the workload in film and TV development. The tool generates detailed summaries, character breakdowns, and tonal assessments within minutes.
Avail’s AI is designed to assist with idea brainstorming and content-related queries, but it’s not meant to replace human jobs.
The launch is notable given recent AI-related concerns in Hollywood, including AI’s role in script writing and training on copyrighted material.
Avail emphasizes data privacy, asserting that user content will not be used to train AI models.
Founded by Chris Giliberti and backed by significant investments, Avail plans future enhancements for collaborative work and specialized models for production planning.
To understand more things AI, We can create a Python script that simulates a simple facial recognition system and demonstrates how it could be misused, reflecting the issues faced by Rite Aid as mentioned in the article.
This script will not involve actual facial recognition technology but will use a simplified approach to show how false positives might occur.
import random
def simulate_facial_recognition(customer_database, incoming_customers):
"""
Simulate a facial recognition system with a high rate of false positives.
:param customer_database: List of customers previously flagged.
:param incoming_customers: List of customers currently visiting.
:return: List of customers falsely flagged by the system.
"""
falsely_flagged = []
for customer in incoming_customers:
# Simulate a facial recognition match with a high chance of error
if random.choice([True, False]):
falsely_flagged.append(customer)
return falsely_flagged
# Example customer databases
previous_shoplifters = ['Alice', 'Bob', 'Charlie']
incoming_customers = ['David', 'Eva', 'Frank', 'Alice']
# Simulate facial recognition
falsely_accused = simulate_facial_recognition(previous_shoplifters, incoming_customers)
print("Falsely Accused Customers:", falsely_accused)In this example, we have two lists: previous_shoplifters and incoming_customers. The function simulate_facial_recognition takes these lists and randomly flags incoming customers as falsely accused, simulating the high rate of false positives that Rite Aid's system might have had.
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