As Uncle Ben says in Spiderman, "With great power comes great responsibility." This is one of my favorite sayings because it holds true for every walk of life, especially as a leader in the workplace, where you are responsible for the success of the business you own and the people you work with.
Many technology applications are becoming more powerful, impactful and far-reaching than ever before, especially in the realm of artificial intelligence (AI), where systems can make life-altering decisions based on real-time data from sensors, remote inputs and existing (historical) data with minimal or no human intervention.
With this power, what should the responsibility be? Should these AI systems be held to the same accountability standards as humans?
Where is AI today?
To answer these questions, let's unpack a few of the current use cases for AI.
1. Finance: Robo-advisors create investment portfolios, and bots determine if loans can be granted or not based on a variety of attributes about the borrower. In high-frequency stock trading, for example, computers have replaced human decision making for matching buy/sell orders.
2. National security: AI plays a front and center role in national security, such as insights mined from the troves of surveillance data and videos that would profoundly impact intelligence analysis.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/05/24/the-future-of-ai-accountability/?sh=5f4fa02b5752
Many technology applications are becoming more powerful, impactful and far-reaching than ever before, especially in the realm of artificial intelligence (AI), where systems can make life-altering decisions based on real-time data from sensors, remote inputs and existing (historical) data with minimal or no human intervention.
With this power, what should the responsibility be? Should these AI systems be held to the same accountability standards as humans?
Where is AI today?
To answer these questions, let's unpack a few of the current use cases for AI.
1. Finance: Robo-advisors create investment portfolios, and bots determine if loans can be granted or not based on a variety of attributes about the borrower. In high-frequency stock trading, for example, computers have replaced human decision making for matching buy/sell orders.
2. National security: AI plays a front and center role in national security, such as insights mined from the troves of surveillance data and videos that would profoundly impact intelligence analysis.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/05/24/the-future-of-ai-accountability/?sh=5f4fa02b5752
