Technology Transfer - since 1986
Leading Edge Information Technology Education
If you think education is expensive, try ignorance...
Derek Bok
Online Events
Due to time zones, events presented by American speakers will be spread over more days, and will take place in the afternoon from 2 pm to 6 pm Italian time
Practical Guidelines for Designing Modern Data Architectures
ONLINE LIVE STREAMING
May 23 - May 24, 2024
By: Rick van der Lans
Data Quality: A “must” for the Business Success
ONLINE LIVE STREAMING
May 27 - May 28, 2024
By: Nigel Turner
The Data Lakehouse Approach to Modern Data Architecture
ONLINE LIVE STREAMING
May 31, 2024
By: John O'Brien
Active Metadata for Data Fabric and Advanced Data Management
ONLINE LIVE STREAMING
Jun 06, 2024
By: John O'Brien
Upcoming Events
May 2024
Upcoming events by this speaker:
June 12-13, 2024 Online live streaming:
The Smart Data Protocol
June 17-20, 2024 Online live streaming:
Chief Data Officer Master Class
The Challenges of Artificial Intelligence
Artificial Intelligence (AI) has revolutionized countless aspects of modern life, from personalized recommendations to autonomous vehicles. However, along with its immense potential, AI also presents a myriad of challenges that must be addressed to ensure its responsible and ethical deployment. From ethical considerations to credibility issues and privacy concerns, navigating the complex terrain of AI challenges requires a multifaceted approach. Let’s explore some of the key challenges facing the AI landscape today.
Ethics: Wrestling with Moral Dilemmas
AI Learns from History:
AI algorithms are trained on historical data, but this reliance on past information can lead to inherent biases. Incomplete or skewed data may perpetuate selection bias, reinforcing existing inequalities and perpetuating discrimination.
Human Biases Enshrined in AI:
As AI learns from human-generated data, it inherits the biases present in the data. This can result in biased decision-making processes, further entrenching societal prejudices and inequalities.
AI Manipulating Humans:
Recommendation engines and personalized content algorithms can influence user preferences, shaping perceptions and behaviors in subtle yet significant ways. This raises concerns about the manipulation of individuals through AI-driven platforms.
Echo Chamber Effect:
The echo chamber results from the same data being widely circulated and shared leading the AI engine to assign high scores to it and further discriminate it. A lie that is widely shared becomes the truth.