A guest review by Benjamin Mitra-Kahn, Chief Economist, IP Australia

There is a lot of press about the coming – or going – of artificial intelligence, and in Made By Humans: The AI Condition  Ellen Broad has written a short but comprehensive account of the state-of-play which deserves to be read by anyone wanting to know what is happening in AI today, certainly if you want to get in on the conversation.

The book is very contemporary, and if you haven’t had the time to attend every conference and workshop on AI since 2015, then you’re in luck. Broad has been to them all, and this book will catch you up on all the developments. The book also offers a series of insights into the challenges that AI and big data present – because it is about both – and the questions we should ask ourselves. These are not the humdrum questions such as who a self-driving car should choose to crash into (although a randomized element is suggested), but some bigger and much more interesting questions about whether we need to be able to inspect the algorithm that made the decision. Does the algorithm need to be open source or does it need to be exposed to expert review to ensure best practice, and should the data that trained the algorithm be openly accessible or available for peer-review. Using every example about data and AI from the last three years, Broad steps through the issues under the hood that are only now being thought about.

This naturally brings up the question of government regulation. This is something Broad has changed her mind about, which she discusses openly in a book that moves between a technology story, personal discovery and ethical discussions. There is a role for regulation says Broad, and the fact that we don’t yet know what that regulation could be, or should be, is handled with some elegance. Technology is not a nirvana , computer code sometimes held together with “peanut butter and goblins” and written by people who are busy, under-funded or just average. Simply aiming to ‘regulate AI’ however is akin to wanting to regulate medicine: It is complex, dependent on who you impact, their ability to engage, and the risks as well as the situation. It is a human-to-human decision ultimately. Not perhaps the argument one expects in a book on AI by the ex-director of policy for the Open Data Institute and previous head of the Australian Digital Alliance. But it is about humans, and the AI condition is about humanity – about fairness, intelligibility, openness and diversity according to Broad.

The book finishes with US Senators questioning Facebook about Cambridge Analytica, and the recent implementation of the GDPR (data governance, not a new measure of GDP), which quickly dates the book, but that is a choice the author makes explicitly. This book is about the current conversation on big data and AI, and it is about participating in that conversation. It is not about the last 50 years of ethics and the history of computers. There is an urgency to the writing, and as someone interested in this, I found myself updated in places, and challenged in others. Reading this book will allow anyone to particpate in the AI debate, knowing what Rahimi’s warning about Alchemy and AI is, being able to discuss the problems around the COMPAS sentencing software, or seeing why Volkswagen’s pollution scandal was a data and software scandal first. If this is a conversation you want to engage with, Broad’s book is an excellent starting point and update.

[amazon_link asins=’B07FXTGMGN’ template=’ProductAd’ store=’enlighteconom-21′ marketplace=’UK’ link_id=’af46feca-98b8-11e8-a10d-1d686ce27dc3′]