If you're a business leader, you're likely trying to get more from artificial intelligence (AI). You also might be wary of the inherent risk and bias that AI may introduce and even wonder if AI will become regulated. Indeed, employing AI is risky, regulation is coming and you may need to shift your way of thinking about technology to use it effectively.
As in sports, defense can be used to spark offense. With AI, the same elements of an effective culture of compliance can also spark innovation, collaboration and agility with data science.
Human-In-The-Loop For AI
In April 2021, the European Commission issued a proposal for AI regulation, the Artificial Intelligence Act (AIA). It's the first attempt to provide a legal framework for AI and regulate corporate responsibility and fairness for AI-infused systems. The EU's ethics guidelines for trustworthy AI advise that "AI systems should empower human beings, allowing them to make informed decisions and foster fundamental rights. At the same time, proper oversight is needed through human-in-the-loop, human-on-the-loop, and human-in-command approaches."
The first and most important player in the AI game is the human. Since humans create algorithms, and humans are biased, AI inherits that bias.
The bad news, as Nobel Prize-winning psychologist Daniel Kahneman says in Noise, is that humans are unable to detect their own biases. The good news, Kahneman suggests, is that there's a simple way to identify and mitigate bias—have someone else identify it. He calls these people "decision observers."
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/09/01/how-to-prepare-faster-for-looming-ai-regulation-turn-defense-into-offense/?sh=49663cf6110b
As in sports, defense can be used to spark offense. With AI, the same elements of an effective culture of compliance can also spark innovation, collaboration and agility with data science.
Human-In-The-Loop For AI
In April 2021, the European Commission issued a proposal for AI regulation, the Artificial Intelligence Act (AIA). It's the first attempt to provide a legal framework for AI and regulate corporate responsibility and fairness for AI-infused systems. The EU's ethics guidelines for trustworthy AI advise that "AI systems should empower human beings, allowing them to make informed decisions and foster fundamental rights. At the same time, proper oversight is needed through human-in-the-loop, human-on-the-loop, and human-in-command approaches."
The first and most important player in the AI game is the human. Since humans create algorithms, and humans are biased, AI inherits that bias.
The bad news, as Nobel Prize-winning psychologist Daniel Kahneman says in Noise, is that humans are unable to detect their own biases. The good news, Kahneman suggests, is that there's a simple way to identify and mitigate bias—have someone else identify it. He calls these people "decision observers."
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/09/01/how-to-prepare-faster-for-looming-ai-regulation-turn-defense-into-offense/?sh=49663cf6110b
