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Forensics is on the cusp of a third revolution in its relatively young lifetime. The first revolution, under the brilliant but complicated mind of J. Edgar Hoover, brought science to the field and was largely responsible for the rise of criminal justice as we know it today. The second, half a century later, saw the introduction of computers and related technologies in mainstream forensics and created the subfield of digital forensics.

We are now hurtling headlong into the third revolution with the introduction of Artificial Intelligence (AI) – intelligence exhibited by machines that are trained to learn and solve problems. This is not just an extension of prior technologies. AI holds the potential to dramatically change the field in a variety of ways, from reducing bias in investigations to challenging what evidence is considered admissible.

AI is no longer science fiction. A 2016 survey conducted by the National Business Research Institute (NBRI) found that 38% of enterprises are already using AI technologies and 62% will use AI technologies by 2018. “The availability of large volumes of data—plus new algorithms and more computing power—are behind the recent success of deep learning, finally pulling AI out of its long winter,” writes Gil Press, contributor to Forbes.com.

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Lawmakers and experts are sounding the alarm about “deepfakes,” forged videos that look remarkably real, warning they will be the next phase in disinformation campaigns.

The manipulated videos make it difficult to distinguish between fact and fiction, as artificial intelligence technology produces fake content that looks increasingly real.

The issue has the attention of lawmakers from both parties on Capitol Hill.

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Over the last decade, military theorists and authors in the fields of future warfare and strategy have examined in detail the potential impacts of an ongoing revolution in information technology. There has been a particular focus on the impacts of automation and artificial intelligence on military and national security affairs. This attention on silicon-based disruption has nonetheless meant that sufficient attention may not have been paid to other equally profound technological developments. One of those developments is the field of biotechnology.

There have been some breathtaking achievements in the biological realm over the last decade. Human genome sequencing has progressed from a multi-year and multi-billion dollar undertaking to a much cheaper and quicker process, far outstripping Moore’s Law. Just as those concerned with national security affairs must monitor disruptive silicon-based technologies, leaders must also be literate in the key biological issues likely to impact the future security of nations. One of the most significant matters in biotechnology is that of human augmentation and whether nations should augment military personnel to stay at the leading edge of capability.

Military institutions will continue to seek competitive advantage over potential adversaries. While this is most obvious in the procurement of advanced platforms, human biotechnological advancement is gaining more attention. As a 2017 CSIS report on the Third Offset found most new technological advances will provide only a temporary advantage, assessed to be no more than five years. In this environment, some military institutions may view the newer field of human augmentation as a more significant source of a future competitive edge.

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AI may quickly point out a corrupt official, but it is not very good at explaining the process it has gone through to reach such a conclusion.


“We just use the machine’s result as reference,” Zhang Yi, an official in a province that’s still using the software, told the SCMP. “We need to check and verify its validity. The machine cannot pick up the phone and call the person with a problem. The final decision is always made by humans.”

Algorithmic Justice

Though corruption in China is reportedly widespread, officials are probably right to be suspicious of a black box algorithm that can bring down the hammer of justice without explaining its reasoning.