Your AI Will Suck…And Here’s How To Avoid It

Today machines can arguably learn, decide, and interact in ways that once seemed confined to science fiction. More of that is going to happen this year and years to come. The advent of AI has just ushered in unprecedented possibilities.

But at the same time, alongside successes, there have been notable flops, which serve as a great reminder. A reminder that no matter how great a tool is – it will always be dependent on who is using it, for what, and how.

The importance of learning from failures is never going away. And that’s where the Responsible AI practices are crucial. It could be about advocating for ethical guidelines. It could be having AI insurance that can safeguard against unexpected outcomes, underscoring the need for cautious optimism. Or it could be building safeguards against concept drifts for your AI systems. All that and then some are important aspects of implementing a better AI for your business.

However, the Achilles’ heel for most AI systems is often going to be not its design but the users. Bad actors exploiting vulnerabilities that lead to catastrophic failures will eventually become common everyday news, it’s just a matter of time. And therefore, mitigating AI risks demands a nuanced approach, balancing innovation with safeguards.

This book is aimed at giving you enough authentic information to implement AI with a better success rate. And I am saying better success rate without committing to 100% because that’s the way it is going to be from now onwards.

Join Anand Tambolli (Author) on this journey through the evolving landscape of AI, where curiosity meets responsibility, and where knowledge empowers us to shape a future where AI works for everyone.