5 Changes the Biden-Harris Administration will Bring to AI Policy

As a new administration takes the reins of the federal government, there is a lot of speculation as to how they will steer policy in the area of technology and innovation. This issue is even more relevant as social media giants grapple with free speech in their platforms, Google is struggles with AI ethics and concerns over video surveillance grows. In the global stage, China moves forward with its ambitions of AI dominance and Europe continues to grapple with issues of data governance and privacy.

In this scenario, what will a Biden-Harris administration mean for AI in the US and global stage? In a previous blog, I described the decentralized US AI strategy, mainly driven by large corporations in Silicon Valley. Will a Biden administration bring continuity to this trend or will it change direction? While it is early to say for sure, we should expect 5 shifts as outlined below:

(1) Increased investment in non-military AI applications: In contrast to the $2 Bi promised by the Trump White House, Biden plans to ramp up public investment in R&D for AI and other emerging technologies. Official campaign statements promise a whopping $300 billion of investment. This is a significant change since public research funds tend to aim at socially conscious applications rather than profit-seeking ventures preferred by private investment. These investments should steer innovation towards social goals such as climate change, revitalizing the economy, and expanding opportunity. In the education front, $5 billion is earmarked for graduate programs in teaching STEM. These are important steps as nations across the globe seek to gain the upper hand on this crucial technology.

(2) Stricter bans on facial recognition: While this is mostly speculation at this point, industry observers cite Kamala’s recent statements and actions as an indication of forthcoming stricter rules. In her plan to reform the justice system, she cites concerns with law enforcement’s use of facial recognition and surveillance. In 2018, she sent letters to federal agencies urging them to take a closer look at the use of facial recognition in their practices as well as the industries they oversee. This keen interest in this AI application could eventually translate into strong legislation to regulate, curtail or even ban the use of facial recognition. It will probably fall somewhere between Europe’s 5-year ban on it and China’s pervasive use to keep the population in check.

Photo by ThisisEngineering RAEng on Unsplash

(3) Renewed anti-trust push on Big Tech: The recent move started by Trump administration to challenge the big tech oligarchy should intensify under the new administration. Considering that the “FAMG”(Facebook, Amazon, Microsoft, and Google) group is in the avant-garde of AI innovation, any disruption to their business structures could impact advances in this area. Yet, a more competitive tech industry could also mean an increase in innovation. It is hard to determine how this will ultimately impact AI development in the US but it is a trend to watch in the next few years.

(4) Increased regulation: It is likely but not certain at this point. Every time a Democratic administration takes power, the underlying assumption by Wall Street is that regulation will increase. Compared to the previous administration’s appetite for dismantling regulation, the Biden presidency will certainly be a change. Yet, it remains to be seen how they will go about in the area of technology. Will they listen to experts and put science in front of politics? AI will definitely be a test of it. They will certainly see government as a strong partner with private industry. Also, they will likely walk back Trump’s tax cuts on business which could hamper innovations for some players.

(5) Greater involvement in the global stage: the Biden administration is likely to work closer with allies, especially in Europe. Obama’s AI principles released in 2012 became a starting point for the vigorous regulatory efforts that arose in Europe in the last 5 years. It would be great to see increased collaboration that would help the US establish strong privacy safeguards as the ones outlined by the GDPR. In regards to China, Biden will probably be more assertive than Obama but less belligerent than Trump. This could translate into restricting access to key technologies and holding China’s feet to the fire on surveillance abuses.

The challenges in this area are immense requiring careful analysis and deliberation. Brash decisions based on ideological short-cuts can both hamper innovation and fail to safeguard privacy. It is also important to build a nimble apparatus that can respond to the evolving nature of this technology. While not as urgent as COVID and the economy, the federal government cannot afford to delay reforming regulation for AI. Ethical concerns and privacy protection should be at the forefront seconded by incentives for social innovation.

Union Tech: How AI is Empowering Workers


Is technology empowering or hindering human flourishing?

This week, I found a promising illustration of empowerment. While driving back from South Carolina, I listened to an episode from Technopolis podcast which explores how technology is altering urban landscapes. Just like in a previous post, the podcast did not disappoint. In this episode, they talk to Palak Shah from the National Domestic Worker Alliance digital lab. The advocacy group seeks innovative ways to empower 2.5 million nannies, house cleaners, and care workers in the United States. Because of its highly distributed workforce (most domestic workers work for one or a few households making it difficult to organize in a way that auto workers could), they quickly saw that technology was the best way to reach and engage the workers they trying to reach.

The lab developed two main products: the Alia platform and a La Alianza chatbot. The platform aggregates small contributions from clients to offer benefits for the workers. One of the biggest challenges with domestic workers is that they have no safety net. Most only get paid when they work and do not have health insurance. By pooling workers and getting an additional contribution from clients with little overhead, the platform is able to give the workers some of these benefits. The chatbot offers news and resources to over 200K domestic worker subscribers.

When the pandemic hit, the lab team with some help from Google was able to fully pivot in order to address new emerging problems. The Alia platform became a cash-transfer tool to help workers that were not getting any income. Note that most of them did not receive unemployment or the stimulus checks coming from the government. Furthermore, the chatbot surveyed domestic workers to better understand the impact of the pandemic on their livelihoods so they could adequately respond to their needs.

The NDWA lab story illustrates well the power of harnessing technology for human flourishing.

As a technology worker myself, I wonder how my work is expanding or hindering human flourishing. Some of us may not be doing work that is directly aligned with a noble cause. Yet, there are many ways in which we can take small steps re-direct technology towards a more human future.

Last week, in a history-making move, a group of Google employees formed the first union in a major technology company. Before that, tech employees have played crucial roles as whistleblowers for abuses and excesses from their companies. Beyond that, numerous tech workers have contributed their valuable skills for non-profit efforts in what is often known as the “tech for good” movement. These efforts range from hackathons to long-term projects organized by foundations embedded within large multinational companies.

These are just a few examples of how technology workers are taking steps to keep large corporations accountable and contribute to their communities. There are many other ways in which one can work towards human flourishing.

How is your work contributing to human flourishing today?