M&A STORIES - The Good, The Bad and The Ugly

HIGH SPEED AI vs CUMBERSOME LEGAL, REGULATORY AND ETHICAL DEVELOPMENTS

February 12, 2024 Robert Heaton & Toby Tester
HIGH SPEED AI vs CUMBERSOME LEGAL, REGULATORY AND ETHICAL DEVELOPMENTS
M&A STORIES - The Good, The Bad and The Ugly
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M&A STORIES - The Good, The Bad and The Ugly
HIGH SPEED AI vs CUMBERSOME LEGAL, REGULATORY AND ETHICAL DEVELOPMENTS
Feb 12, 2024
Robert Heaton & Toby Tester

In recent weeks Rob and Toby have veered slightly off the M&A topic to explore the emerging world of AI and how it might shake up M&A as we know it.  In doing that we've arrived at the challenges of adopting adequate regulatory and ethical controls for AI and never mind the slow cumbersome legal system and how that might cope with AI.

The key point is that AI needs global standards for regulation, ethics and legal controls and anyone with a degree of experience knows how difficult that might be to achieve. In Australia, it's almost impossible getting individual states to agree on a standard never mind a global scale.

Rob's view is that ethical and regulatory controls can be embedded into any AI programs at source and that if the big players (Microsoft, IBM, Amazon, Cisco, Oracle, SAP can be encouraged to do this, we might at least cover 80% of the challenge.

What are your thoughts?

Show Notes

In recent weeks Rob and Toby have veered slightly off the M&A topic to explore the emerging world of AI and how it might shake up M&A as we know it.  In doing that we've arrived at the challenges of adopting adequate regulatory and ethical controls for AI and never mind the slow cumbersome legal system and how that might cope with AI.

The key point is that AI needs global standards for regulation, ethics and legal controls and anyone with a degree of experience knows how difficult that might be to achieve. In Australia, it's almost impossible getting individual states to agree on a standard never mind a global scale.

Rob's view is that ethical and regulatory controls can be embedded into any AI programs at source and that if the big players (Microsoft, IBM, Amazon, Cisco, Oracle, SAP can be encouraged to do this, we might at least cover 80% of the challenge.

What are your thoughts?