MIT Sloan School of Management

An analysis by the MIT Sloan Sustainability Initiative and Climate Interactive has found that planting a trillion trees would only prevent 0.27 degrees of warming by 2100, reports Maxine Joselow for The Washington Post. “Trees are great. I personally love to be out in the forests as much as I possibly can,” says Prof. John Sterman. “But the reality is very simple: You can plant a trillion trees, and even if they all survived, which wouldn’t happen, it just wouldn’t make that much difference to the climate.”

Prof. Emeritus Thomas Kochan writes for The Hill about the need for a new social contract that reflects the expectations of today’s workforce, including sizable wage increases due to inflation and a voice in the use of AI and generative technology. “Either labor and management negotiate a new social contract that is more responsive to what workers want and need today, or we will experience intensified conflicts that further divide our country,” writes Kochan.

Merritt Jenkins MBA '21 co-founded Kodama Systems, a startup developing a semiautonomous timber harvesting machine to remove tree and debris from forests and bury them in an effort to help combat global warming, reports Christopher Helman for Forbes. “Scientists say burying trees can reduce global warming as well—particularly if those trees would otherwise end up burning or decaying, spewing their stored carbon into the air,” writes Helman.

Financial Times reporter Andrew Hill spotlights Prof. Zeynep Ton’s new book “The Case for Good Jobs,” which presents “a tough, evidence-backed approach to improving what is often unhelpfully classed as ‘unskilled’ work.” Hill notes that: “Ton’s recipe has four ingredients: focus and simplify, standardize and empower, cross-train staff and ‘operate with slack’, which allows employees greater autonomy and gives them time to solve problems and come up with new ideas themselves.”

A study by researchers from MIT and Stanford University explored how customer service agents use generative AI chatbots in their response to tech support questions, reports Meghan McCarty for Marketplace. “The most experienced workers see no to even small negative effects of the AI being turned on for them, while the less-experienced and least-productive workers see on average 30 to 35% improvements in productivity,” explains graduate student Lindsey Raymond.

Lecturer Guadalupe Hayes-Mota SB '08, MS '16, MBA '16 writes for Forbes about the ethical framework needed to mitigate risks in artificial intelligence. “[A]s we continue to unlock AI's capabilities, it is crucial to address the ethical challenges that emerge,” writes Hayes-Mota. “By establishing a comprehensive ethical framework grounded in beneficence, non-maleficence, autonomy, justice and responsibility, we can ensure that AI's deployment in life sciences aligns with humanity's best interests.”

In an episode of The Moth, Anh Vu Sawyer MBA '20 speaks about what it was like for her to attend MIT Sloan as a 64-year-old student. “The experience of being at MIT showed who I really am” says Sawyer. “That I can still dream. It opened many opportunities; it opened many doors.”

MIT has been selected as the world’s best university in the 2024 QS World University Rankings, reports Cecilia Rodriguez for Forbes. MIT has secured “the top position for the 12^th consecutive year,” writes Rodriguez.

Writing for the Financial Times, Prof. Robert Pindyck makes the case that households, private businesses and governments must "invest in adaptation to climate change, in order to counter its possible impact.” Pindyck writes, “Now is the time to put more effort into efficient CO₂ emission reduction, and invest in adaptation to limit the impacts of climate change.”

Professor Roberto Rigobon, Research Scientist Florian Berg and Research Affiliate Julian Kölbel write for the Financial Times about the pressing need for tougher scrutiny, regulation and reform of ESG rating agencies. “The solution is greater transparency about what a rating seeks to measure, and the methodology behind it,” they write. “Users should be able to scrutinize the way the data is collected and aggregated, and whether that is consistent with the rating’s objective.”

Lynette Seow MBA ’23 co-founded Safe Space Singapore, a B2B2C platform aimed at strengthening “mental resilience by providing tele-therapy care and prevention education,” reports Matt Symonds for Forbes. “Ultimately, I figured that if I wanted to build a Safe Space for people to come to, I had to be one to the people I met,” shares Seow. “If improving mental health is my mission, and a disproportionate percentage of LGBTQ+ people experience mental health struggles, how could I ignore drawing attention to this cause even if it meant being a bit more public about my personal life?"

Writing for Bloomberg, Prof. Thomas Malone about the need to adapt copyright laws in the era of generative AI. “One promising possibility is to introduce a new body of law based on the premise that different legal protections are appropriate when these massive AI systems can process vast amounts of information far faster and less expensively than humans can,” writs Malone.

Financial Times reporter Andrew Hill highlights Prof. Zeynep Ton’s new book “The Case for Good Jobs: How Great Companies Bring Dignity, Pay, and Meaning to Everyone’s Work” in a roundup of his best books of the year thus far. “Ton has assembled a hard-to-dispute argument that better and better-paid jobs contribute to a virtuous circle of greater competitiveness, productivity and, above all, worker dignity and wellbeing,” writes Hill.

“Power and Progress,” a new book by Institute Prof. Daron Acemoglu and Prof. Simon Johnson, has been named one of the best new books on economics by the Financial Times. “The authors’ nuanced take on technological development provides insights on how we can ensure the coming AI revolution leads to widespread benefits for the many, not just the tech bros,” writes Tej Parikh.

Writing for The New York Times, Institute Prof. Daron Acemoglu and Prof Simon Johnson make the case that “rather than machine intelligence, what we need is ‘machine usefulness,’ which emphasizes the ability of computers to augment human capabilities. This would be a much more fruitful direction for increasing productivity. By empowering workers and reinforcing human decision making in the production process, it also would strengthen social forces that can stand up to big tech companies.”