Post by account_disabled on Mar 9, 2024 9:26:13 GMT 1
At This Point, One Cannot Fail to Mention the Challenge That Generative Ai Brings. Recent Developments Offering Neural Networks With Billions of Parameters: Large Language Models (Llm) Such as Gpt-, Bert and Many Others That Have Entered the Scene With Public Release HaveThe Application of Ai and Machine Learning in Advertising Budget Management is Also Growing Strongly. This Allows Companies and Agencies to Optimize Budget Allocation Across Different Channels, Creating Multi-channel Campaign Management Solutions That Use Algorithms and Ai to Improve Their Performance on the One Hand and Predict, Based on Data Analysis, Allocation Results. Of Advertising. Disadvantages and Challenges the Debate on the Ethics Linked to the Very Concept of Ai and Its Interrelation With Human Intelligence is Currently Having Greater Strength.
Firstly, There is a Data Privacy Protection Issue, as Ai Can Collect and Use Large Amounts of Data About Customers, Employees, External Sources, Etc. So Ai Must Be Understandable to Users, People Must Be Informed About How It Works and How UK Mobile Database Data is Processed. Then There is the Issue of Bias, Ai Can Be Influenced by Biases, Because Algorithms Are Trained by Humans, if the Data Used to Train the Algorithm is Incorrect, the Results Will Be Invalidated.
There is an Important Question of Responsibility Here: Ai Can Make Decisions That Affect People's Lives, So Companies Must Monitor Them and Bear the Consequences. Here Emerges a Strong Concept About Social Impact. For Example, the Debate Surrounding Whether Jobs Will Be Eliminated by Artificial Intelligence . However, as Always Happens With the Most Innovative New Technologies, the Way of Working Thanks to Ai Models Will Bring Changes, but This Does Not Imply the Replacement of Human Capital, but Rather an Evolution of the Activities Themselves and an Optimization of Their Way of Working. Carry Them Out.
Firstly, There is a Data Privacy Protection Issue, as Ai Can Collect and Use Large Amounts of Data About Customers, Employees, External Sources, Etc. So Ai Must Be Understandable to Users, People Must Be Informed About How It Works and How UK Mobile Database Data is Processed. Then There is the Issue of Bias, Ai Can Be Influenced by Biases, Because Algorithms Are Trained by Humans, if the Data Used to Train the Algorithm is Incorrect, the Results Will Be Invalidated.
There is an Important Question of Responsibility Here: Ai Can Make Decisions That Affect People's Lives, So Companies Must Monitor Them and Bear the Consequences. Here Emerges a Strong Concept About Social Impact. For Example, the Debate Surrounding Whether Jobs Will Be Eliminated by Artificial Intelligence . However, as Always Happens With the Most Innovative New Technologies, the Way of Working Thanks to Ai Models Will Bring Changes, but This Does Not Imply the Replacement of Human Capital, but Rather an Evolution of the Activities Themselves and an Optimization of Their Way of Working. Carry Them Out.